82. Ma, A., Nussinov, R., Chen, J., Xing, J., Xiao, J., Xu, D., Lin, M., Delafrouz, P., Royston, T., Tang, K., Ye, B., & Zhang, J. (2026). Jie Liang (1964–2024): Introduction to modeling biology at multiple scales: From macromolecules to cells, dedicated to Jie Liang. Biophysical Journal, 125(18), E1–E6. https://doi.org/10.1016/j.bpj.2026.08.015 Author note: Ma and Xing are co-corresponding authors.
81. Zeng, Z., Yu, S., Ni, K., Zhang, Y., Shin, U., Huang, C., Cao, N., Weissman, J., Xing, J., & Qiu, X. (in press). Predictive modeling of single-cell transcriptomic dynamics with Dynamo. Nature Protocols. Author note: Zeng, Yu, Ni, and Zhang are co-first authors; Xing and Qiu are co-corresponding authors.
80. Das, B., Xing, J., Sharma, A. K., & Ge, H. (2026). Hook stiffness as a mechanical switch for torque regulation in the bacterial flagellar motor. Biophysical Journal, 125(18), 5243–5253. https://doi.org/10.1016/j.bpj.2026.02.018
79. Hu, S., Lu, Y., Yu, G., Zheng, Z., Ni, K., Giri, A., Zhang, J., Zhang, Y., Yao, G., & Xing, J. (2026). Single cell snapshot analyses under proper representation reveal that epithelial-mesenchymal transition couples at G1 and G2/M. Communications Biology, 9(1), 212. https://doi.org/10.1038/s42003-025-09487-6
78. Nguyen, H.-T., Nguyen, T.-H., Lam, B.-T., Vu, V., Nguyen, B. X., Xing, J., Wang, T., Li, X., & Xu, M. (2026). Adaptive knowledge transferring with switching dual-student framework for semi-supervised medical image segmentation. Pattern Recognition, 175, 113115. https://doi.org/10.1016/j.patcog.2026.113115
77. Wiley, H. S., Lopez, C. F., Rodin, A. S., Rockne, R. C., Yankeelov, T. E., Sauro, H. M., Hassan, G., Prabhakaran, S., Demir, E., Hu, M., Fuxman Bass, J., Luddy, K. A., Newman, H., Mochel, J. P., Costello, J. C., Xing, J., Afify, S. M., Acar, A., Haden Gephart, M., et al. (2025). A roadmap for the future of systems biology in cancer research. Cancer Research, 85(24), 4880–4889. https://doi.org/10.1158/0008-5472.can-25-0700
76. Wang, H., Ardila, C., Jindal, A., Aggarwal, V., Wang, W., Vande Geest, J., Jiang, Y., Xing, J., & Sant, S. (2025). Protrusion force and cell-cell adhesion-induced polarity alignment govern collective migration modes. Biophysical Journal, 124(10), 1674–1692. https://doi.org/10.1016/j.bpj.2025.04.010 Author note: Xing and Sant are co-corresponding authors.
75. Ni, K., Yu, G., Zheng, Z., Lu, Y., Hu, S., Poe, D., Zhang, S., Sanborn, M., Uddin, M., Wang, Z., Zhou, S., Chen, Y., Zhan, X., Wang, W., & Xing, J. (2025). LivecellX: Corrective deep learning for object-oriented single-cell analysis in live-cell imaging [Preprint]. bioRxiv. https://doi.org/10.1101/2025.02.23.639532
74. Zhang, J., Wang, S., Watkins, S. C., & Xing, J. (in press). Long-range genomic loci stochastically assemble into hierarchical chromosome structures. Genome Biology. Preprint available at https://doi.org/10.1101/2025.02.10.637328
73. Chen, Y., Zhang, Y., Gan, J., Ni, K., Chen, M., Bahar, I., & Xing, J. (2025). GraphVelo allows for accurate inference of multimodal velocities and molecular mechanisms for single cells. Nature Communications, 16(1), 7831. https://doi.org/10.1038/s41467-025-62784-w
72. Hong, T., & Xing, J. (2024). Data‐ and theory‐driven approaches for understanding paths of epithelial–mesenchymal transition. Genesis, 62(2), e23591. https://doi.org/10.1002/dvg.23591
71. Wang, W., Ni, K., Poe, D., & Xing, J. (2024). Transiently increased coordination in gene regulation during cell phenotypic transitions. PRX Life, 2(4), 043009. https://doi.org/10.1103/prxlife.2.043009
70. Cang, H., Liu, Y., & Xing, J. (2024). Mosaic-PICASSO: accurate crosstalk removal for multiplex fluorescence imaging. Bioinformatics, 40(1), btad784. https://doi.org/10.1093/bioinformatics/btad784
69. Zhang, Y., Qiu, X., Ni, K., Weissman, J., Bahar, I., & Xing, J. (2023). Graph-Dynamo: Learning stochastic cellular state transition dynamics from single cell data [Preprint]. bioRxiv. https://doi.org/10.1101/2023.09.24.559170
68. Hettinger, Z. R., Hu, S., Mamiya, H., Sahu, A., Iijima, H., Wang, K., Gilmer, G., Miller, A., Nasello, G., D’Amore, A., Vorp, D. A., Rando, T. A., Xing, J., & Ambrosio, F. (2023). Dynamical modeling reveals RNA decay mediates the effect of matrix stiffness on aged muscle stem cell fate [Preprint]. bioRxiv. https://doi.org/10.1101/2023.02.24.529950 Author note: Hettinger and Hu are co-first authors; Rando, Xing, and Ambrosio are co-corresponding authors.
67. Xing, J. (2022). Reconstructing data-driven governing equations for cell phenotypic transitions: integration of data science and systems biology. Physical Biology, 19(6), 061001. https://doi.org/10.1088/1478-3975/ac8c16
66. Wang, W., Poe, D., Yang, Y., Hyatt, T., & Xing, J. (2022). Epithelial-to-mesenchymal transition proceeds through directional destabilization of multidimensional attractor. eLife, 11, e74866. https://doi.org/10.7554/elife.74866
65. Qiu, X., Zhang, Y., Martin-Rufino, J. D., Weng, C., Hosseinzadeh, S., Yang, D., Pogson, A. N., Hein, M. Y., Hoi (Joseph) Min, K., Wang, L., Grody, E. I., Shurtleff, M. J., Yuan, R., Xu, S., Ma, Y., Replogle, J. M., Lander, E. S., Darmanis, S., Bahar, I., et al. (2022). Mapping transcriptomic vector fields of single cells. Cell, 185(4), 690–711. https://doi.org/10.1016/j.cell.2021.12.045 Author note: Qiu and Zhang are co-first authors; Qiu, Xing, and Weissman are co-corresponding authors.
64. Zhang, Y., Krieger, J., Mikulska-Ruminska, K., Kaynak, B., Sorzano, C. O. S., Carazo, J.-M., Xing, J., & Bahar, I. (2021). State-dependent sequential allostery exhibited by chaperonin TRiC/CCT revealed by network analysis of Cryo-EM maps. Progress in Biophysics and Molecular Biology, 160, 104–120. https://doi.org/10.1016/j.pbiomolbio.2020.08.006
63. Xing, J. (2020). Bidirectional interplay between physical and biological approaches on studying the epithelial-to-mesenchymal transition. Physical Biology, 17(2), 020201. https://doi.org/10.1088/1478-3975/ab73d0
62. Wang, W., Douglas, D., Zhang, J., Kumari, S., Enuameh, M. S., Dai, Y., Wallace, C. T., Watkins, S. C., Shu, W., & Xing, J. (2020). Live-cell imaging and analysis reveal cell phenotypic transition dynamics inherently missing in snapshot data. Science Advances, 6(36), eaba9319. https://doi.org/10.1126/sciadv.aba9319
61. Yang, J., Antin, P., Berx, G., Blanpain, C., Brabletz, T., Bronner, M., Campbell, K., Cano, A., Casanova, J., Christofori, G., Dedhar, S., Derynck, R., Ford, H. L., Fuxe, J., García de Herreros, A., Goodall, G. J., Hadjantonakis, A.-K., Huang, R. Y. J., Kalcheim, C., et al. (2020). Guidelines and definitions for research on epithelial–mesenchymal transition. Nature Reviews Molecular Cell Biology, 21(6), 341–352. https://doi.org/10.1038/s41580-020-0237-9
60. Tripathi, S., Xing, J., Levine, H., & Jolly, M. K. (2020). Mathematical modeling of plasticity and heterogeneity in EMT. In K. Campbell & E. Theveneau (Eds.), The epithelial-to-mesenchymal transition: Methods and protocols (pp. 385–413). Humana Press. https://doi.org/10.1007/978-1-0716-0779-4_28
59. Tian, X.-J., Zhou, D., Fu, H., Zhang, R., Wang, X., Huang, S., Liu, Y., & Xing, J. (2020). Sequential Wnt agonist then antagonist treatment accelerates tissue repair and minimizes fibrosis. iScience, 23(5), 101047. https://doi.org/10.1016/j.isci.2020.101047
58. Chen, Y.-J., Cheng, Y.-Y., Wang, W., Tian, X.-J., Lefever, D. E., Taft, D. A., Zhang, J., & Xing, J. (2020). Rapid, modular, and cost-effective generation of donor DNA constructs for CRISPR-based gene knock-in. Biology Methods and Protocols, 5(1), bpaa006. https://doi.org/10.1093/biomethods/bpaa006
57. Igoshin, O. A., Chen, J., Xing, J., Liu, J., Elston, T. C., Grabe, M., Kim, K. S., Nirody, J. A., Rangamani, P., Sun, S. X., Wang, H., & Wolgemuth, C. (2019). Biophysics at the coffee shop: lessons learned working with George Oster. Molecular Biology of the Cell, 30(16), 1882–1889. https://doi.org/10.1091/mbc.e19-02-0107
56. Xing, J., & Tian, X.-J. (2019). Investigating epithelial-to-mesenchymal transition with integrated computational and experimental approaches. Physical Biology, 16(3), 031001. https://doi.org/10.1088/1478-3975/ab0032
55. Fujimaki, K., Li, R., Chen, H., Della Croce, K., Zhang, H. H., Xing, J., Bai, F., & Yao, G. (2019). Graded regulation of cellular quiescence depth between proliferation and senescence by a lysosomal dimmer switch. Proceedings of the National Academy of Sciences, 116(45), 22624–22634. https://doi.org/10.1073/pnas.1915905116
54. Zhang, J., Chen, H., Li, R., Taft, D. A., Yao, G., Bai, F., & Xing, J. (2019). Spatial clustering and common regulatory elements correlate with coordinated gene expression. PLOS Computational Biology, 15(3), e1006786. https://doi.org/10.1371/journal.pcbi.1006786
53. Xing, J. (n.d.). CRISPR techniques can accelerate research on the epithelial-to-mesenchymal transition [Expert opinion]. ResearchGate. https://www.researchgate.net/publication/325934143_CRISPR_techniques_can_accelerate_research_on_the_epithelial-to-mesenchymal_transition
52. Singh, M., Tian, X.-J., Donnenberg, V. S., Watson, A. M., Zhang, J., Stabile, L. P., Watkins, S. C., Xing, J., & Sant, S. (2019). Targeting the temporal dynamics of hypoxia-induced tumor-secreted factors halts tumor migration. Cancer Research, 79(11), 2962–2977. https://doi.org/10.1158/0008-5472.can-18-3151
51. Wang, W., Taft, D. A., Chen, Y.-J., Zhang, J., Wallace, C. T., Xu, M., Watkins, S. C., & Xing, J. (2019). Learn to segment single cells with deep distance estimator and deep cell detector. Computers in Biology and Medicine, 108, 133–141. https://doi.org/10.1016/j.compbiomed.2019.04.006
50. Zhang, J., Tian, X.-J., Chen, Y.-J., Wang, W., Watkins, S., & Xing, J. (2018). Pathway crosstalk enables cells to interpret TGF-β duration. npj Systems Biology and Applications, 4(1), 18. https://doi.org/10.1038/s41540-018-0060-5
49. Zhou, D., Fu, H., Xiao, L., Mo, H., Zhuo, H., Tian, X., Lin, L., Xing, J., & Liu, Y. (2018). Fibroblast-specific β-catenin signaling dictates the outcome of AKI. Journal of the American Society of Nephrology, 29(4), 1257–1271. https://doi.org/10.1681/asn.2017080903
48. Kwon, J. S., Everetts, N. J., Wang, X., Wang, W., Della Croce, K., Xing, J., & Yao, G. (2017). Controlling depth of cellular quiescence by an Rb-E2F network switch. Cell Reports, 20(13), 3223–3235. https://doi.org/10.1016/j.celrep.2017.09.007
47. Tian, X.-J., Zhang, H., Zhang, J., & Xing, J. (2016). Reciprocal regulation between mRNA and microRNA enables a bistable switch that directs cell fate decisions. FEBS Letters, 590(19), 3443–3455. https://doi.org/10.1002/1873-3468.12379
46. Xing, J. (2016). Neurons use physics for receptor selection. Cell Systems, 2, 290. https://www.cell.com/cell-systems/fulltext/S2405-4712%2816%2930152-1
45. Tian, X.-J., Zhang, H., Sannerud, J., & Xing, J. (2016). Achieving diverse and monoallelic olfactory receptor selection through dual-objective optimization design. Proceedings of the National Academy of Sciences, 113(21), E2889–E2898. https://doi.org/10.1073/pnas.1601722113
44. Zhang, J., Tian, X.-J., & Xing, J. (2016). Signal transduction pathways of EMT induced by TGF-β, SHH, and WNT and their crosstalks. Journal of Clinical Medicine, 5(4), 41. https://doi.org/10.3390/jcm5040041
43. Xing, J., & Lee, R. E. C. (2015). Putting it all on pigmentation: Heuristics of a bold and stochastic cell fate decision. Science Signaling, 8(397), fs17. https://doi.org/10.1126/scisignal.aad2816
42. Teng, Y., Yue, W., Wang, J., Zhang, H., Du, J., Li, J., Zheng, L., Zhou, J., Tian, X.-J., He, L., Nan, X., Xing, J., Jiang, Y., He, F., & Pei, X. (n.d.). Integrative microRNA and proteomic approaches from a hESC-based in vitro model of definitive endoderm differentiation reveal novel post-regulation interactions [Manuscript submitted for publication]. Author note: Zhang is a co-first author; Xing is a co-corresponding author.
41. Zhang, J., Tian, X.-J., Zhang, H., Teng, Y., Li, R., Bai, F., Elankumaran, S., & Xing, J. (2014). TGF-β–induced epithelial-to-mesenchymal transition proceeds through stepwise activation of multiple feedback loops. Science Signaling, 7(345), ra91. https://doi.org/10.1126/scisignal.2005304 Author note: J. Zhang and Tian are co-first authors.
40. Mondal, D., Dougherty, E., Mukhopadhyay, A., Carbo, A., Yao, G., & Xing, J. (2014). Systematic reverse engineering of network topologies: A case study of resettable bistable cellular responses. PLoS ONE, 9(8), e105833. https://doi.org/10.1371/journal.pone.0105833
39. Xing, J., Mather, W., & Hong, C. (2014). Computational cell biology: past, present and future. Interface Focus, 4(3), 20140027. https://doi.org/10.1098/rsfs.2014.0027
38. Wang, P., Song, C., Zhang, H., Wu, Z., Tian, X.-J., & Xing, J. (2014). Epigenetic state network approach for describing cell phenotypic transitions. Interface Focus, 4(3), 20130068. https://doi.org/10.1098/rsfs.2013.0068
37. Chen, C., Baumann, W. T., Xing, J., Xu, L., Clarke, R., & Tyson, J. J. (2014). Mathematical models of the transitions between endocrine therapy responsive and resistant states in breast cancer. Journal of the Royal Society Interface, 11(96), 20140206. https://doi.org/10.1098/rsif.2014.0206
36. Zhang, H., Tian, X.-J., Mukhopadhyay, A., Kim, K. S., & Xing, J. (2014). Statistical mechanics model for the dynamics of collective epigenetic histone modification. Physical Review Letters, 112(6), 068101. https://doi.org/10.1103/physrevlett.112.068101
35. Tian, X.-J., Zhang, H., & Xing, J. (2013). Coupled reversible and irreversible bistable switches underlying TGFβ-induced epithelial to mesenchymal transition. Biophysical Journal, 105(4), 1079–1089. https://doi.org/10.1016/j.bpj.2013.07.011
34. Hu, Y., Ru, N., Xiao, H., Chaturbedi, A., Hoa, N. T., Tian, X.-J., Zhang, H., Ke, C., Yan, F., Nelson, J., Li, Z., Gramer, R., Yu, L., Siegel, E., Zhang, X., Jia, Z., Jadus, M. R., Limoli, C. L., Linskey, M. E., et al. (2013). Tumor-specific chromosome mis-segregation controls cancer plasticity by maintaining tumor heterogeneity. PLoS ONE, 8(11), e80898. https://doi.org/10.1371/journal.pone.0080898 Author note: Xing is a co-corresponding author.
33. Zhan, Y., Sun, C., Cao, Z., Bao, N., Xing, J., & Lu, C. (2012). Release of intracellular proteins by electroporation with preserved cell viability. Analytical Chemistry, 84(19), 8102–8105. https://doi.org/10.1021/ac302462s
32. Glaros, T., Fu, Y., Xing, J., & Li, L. (2012). Molecular mechanism underlying persistent induction of LCN2 by lipopolysaccharide in kidney fibroblasts. PLoS ONE, 7(4), e34633. https://doi.org/10.1371/journal.pone.0034633
31. Fu, Y., Jiang, X., Zhang, H., & Xing, J. (2012). A strategy to study pathway cross-talks of cells under repetitive exposure to stimuli. BMC Systems Biology, 6(Suppl. 3), S6. https://doi.org/10.1186/1752-0509-6-s3-s6
30. Hong, T., Xing, J., Li, L., & Tyson, J. J. (2012). A simple theoretical framework for understanding heterogeneous differentiation of CD4+ T cells. BMC Systems Biology, 6, 66. https://doi.org/10.1186/1752-0509-6-66
29. Fu, Y., Glaros, T., Zhu, M., Wang, P., Wu, Z., Tyson, J. J., Li, L., & Xing, J. (2012). Network topologies and dynamics leading to endotoxin tolerance and priming in innate immune cells. PLoS Computational Biology, 8(5), e1002526. https://doi.org/10.1371/journal.pcbi.1002526
28. Bai, F., Minamino, T., Wu, Z., Namba, K., & Xing, J. (2012). Coupling between switching regulation and torque generation in bacterial flagellar motor. Physical Review Letters, 108(17), 178105. https://doi.org/10.1103/physrevlett.108.178105
27. Wu, Z., & Xing, J. (2012). Functional roles of slow enzyme conformational changes in network dynamics. Biophysical Journal, 103(5), 1052–1059. https://doi.org/10.1016/j.bpj.2012.08.008
26. Bai, F., Wu, Z., Jin, J., Hochendoner, P., & Xing, J. (2012). Slow protein conformational change, allostery and network dynamics. Protein-Protein Interactions – Computational and Experimental Tools. https://doi.org/10.5772/38519
25. Wu, Z., Nogales, E., & Xing, J. (2012). Comparative studies of microtubule mechanics with two competing models suggest functional roles of alternative tubulin lateral interactions. Biophysical Journal, 102(12), 2687–2696. https://doi.org/10.1016/j.bpj.2012.05.003
24. Hong, T., Xing, J., Li, L., & Tyson, J. J. (2011). A mathematical model for the reciprocal differentiation of T helper 17 cells and induced regulatory T cells. PLoS Computational Biology, 7(7), e1002122. https://doi.org/10.1371/journal.pcbi.1002122
23. Xing, J., & Kim, K. S. (2011). Application of the projection operator formalism to non-Hamiltonian dynamics. The Journal of Chemical Physics, 134(4), 044132. https://doi.org/10.1063/1.3530071
22. Fu, Y., Zhu, M., & Xing, J. (2010). Resonant activation: a strategy against bacterial persistence. Physical Biology, 7(1), 016013. https://doi.org/10.1088/1478-3975/7/1/016013
21. Xing, J., Mu, W., & Ou-Yang, Z. (2012). Fluctuation-dissipation relations for steady-state systems. EPL (Europhysics Letters), 100(2), 20001. https://doi.org/10.1209/0295-5075/100/20001
20. Xing, J. (2010). Mapping between dissipative and Hamiltonian systems. Journal of Physics A: Mathematical and Theoretical, 43(37), 375003. https://doi.org/10.1088/1751-8113/43/37/375003
19. Wu, Z., Wang, H.-W., Mu, W., Ouyang, Z., Nogales, E., & Xing, J. (2009). Simulations of tubulin sheet polymers as possible structural intermediates in microtubule assembly. PLoS ONE, 4(10), e7291. https://doi.org/10.1371/journal.pone.0007291
18. Xing, J. (2009). Mori–Zwanzig projection formalism: From linear to nonlinear [Preprint]. arXiv. https://arxiv.org/abs/0904.2691
17. Qian, H., Shi, P.-Z., & Xing, J. (2009). Stochastic bifurcation, slow fluctuations, and bistability as an origin of biochemical complexity. Physical Chemistry Chemical Physics, 11(24), 4861. https://doi.org/10.1039/b900335p
16. Wu, Z., Elgart, V., Qian, H., & Xing, J. (2009). Amplification and detection of single-molecule conformational fluctuation through a protein interaction network with bimodal distributions. The Journal of Physical Chemistry B, 113(36), 12375–12381. https://doi.org/10.1021/jp903548d
15. Bai, F., Lo, C.-J., Berry, R. M., & Xing, J. (2009). Model studies of the dynamics of bacterial flagellar motors. Biophysical Journal, 96(8), 3154–3167. https://doi.org/10.1016/j.bpj.2009.01.023
14. Xing, J., & Chen, J. (2008). The Goldbeter-Koshland Switch in the First-Order Region and Its Response to Dynamic Disorder. PLoS ONE, 3(5), e2140. https://doi.org/10.1371/journal.pone.0002140
13. Xing, J. (2007). Nonequilibrium dynamic mechanism for allosteric effect. Physical Review Letters, 99(16), 168103. https://doi.org/10.1103/physrevlett.99.168103
12. Xing, J., & Kim, K. S. (2006). Protein fluctuations and breakdown of time-scale separation in rate theories. Physical Review E, 74(6), 061911. https://doi.org/10.1103/physreve.74.061911
11. Xing, J., Bai, F., Berry, R., & Oster, G. (2006). Torque–speed relationship of the bacterial flagellar motor. Proceedings of the National Academy of Sciences, 103(5), 1260–1265. https://doi.org/10.1073/pnas.0507959103
10. Xing, J., Liao, J.-C., & Oster, G. (2005). Making ATP. Proceedings of the National Academy of Sciences, 102(46), 16539–16546. https://doi.org/10.1073/pnas.0507207102
9. Xing, J., Wang, H., & Oster, G. (2005). From continuum Fokker–Planck models to discrete kinetic models. Biophysical Journal, 89(3), 1551–1563. https://doi.org/10.1529/biophysj.104.055178
8. Xing, J., Wang, H., von Ballmoos, C., Dimroth, P., & Oster, G. (2004). Torque generation by the Fo motor of the sodium ATPase. Biophysical Journal, 87(4), 2148–2163. https://doi.org/10.1529/biophysj.104.042093
7. Xing, J., Coronado, E. A., & Miller, W. H. (2001). Some new classical and semiclassical models for describing tunneling processes with real-valued classical trajectories. The Journal of Physical Chemistry B, 105(28), 6574–6578. https://doi.org/10.1021/jp0046086
6. Xing, J. (2001). Statistical thermodynamics of lattice models. The Journal of Chemical Physics, 115(17), 8038–8043. https://doi.org/10.1063/1.1410115
5. Coronado, E. A., Xing, J., & Miller, W. H. (2001). Ultrafast non-adiabatic dynamics of systems with multiple surface crossings: a test of the Meyer–Miller Hamiltonian with semiclassical initial value representation methods. Chemical Physics Letters, 349(5-6), 521–529. https://doi.org/10.1016/s0009-2614(01)01242-8
4. Chen, B., Xing, J., & Siepmann, J. I. (2000). Development of polarizable water force fields for phase equilibrium calculations. The Journal of Physical Chemistry B, 104(10), 2391–2401. https://doi.org/10.1021/jp993687m
3. Kim, Y., Corchado, J. C., Villà, J., Xing, J., & Truhlar, D. G. (2000). Multiconfiguration molecular mechanics algorithm for potential energy surfaces of chemical reactions. The Journal of Chemical Physics, 112(6), 2718–2735. https://doi.org/10.1063/1.480846
2. Li, J., Xing, J., Cramer, C. J., & Truhlar, D. G. (1999). Accurate dipole moments from Hartree–Fock calculations by means of class IV charges. The Journal of Chemical Physics, 111(3), 885–892. https://doi.org/10.1063/1.479199
1. Zhao, X., Xing, J., Li, P., Xie, X., Xia, X., Li, H., Huang, C., Li, T., & Xu, L. (1995). Effects of adsorption and reaction on the second harmonic generation of Langmuir–Blodgett films. Langmuir, 11(10), 3620–3622. https://doi.org/10.1021/la00010a004