Jun Li

8.3k total citations · 1 hit paper
275 papers, 6.8k citations indexed

About

Jun Li is a scholar working on Atomic and Molecular Physics, and Optics, Spectroscopy and Atmospheric Science. According to data from OpenAlex, Jun Li has authored 275 papers receiving a total of 6.8k indexed citations (citations by other indexed papers that have themselves been cited), including 132 papers in Atomic and Molecular Physics, and Optics, 64 papers in Spectroscopy and 55 papers in Atmospheric Science. Recurrent topics in Jun Li's work include Advanced Chemical Physics Studies (121 papers), Spectroscopy and Quantum Chemical Studies (60 papers) and Spectroscopy and Laser Applications (44 papers). Jun Li is often cited by papers focused on Advanced Chemical Physics Studies (121 papers), Spectroscopy and Quantum Chemical Studies (60 papers) and Spectroscopy and Laser Applications (44 papers). Jun Li collaborates with scholars based in China, United States and Germany. Jun Li's co-authors include Hua Guo, Bin Jiang, Daiqian Xie, Richard Dawes, Dingtao Zhao, Shanyong Wang, Dandan Lü, Yang Liu, Jianyi Ma and T. B. Brill and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Jun Li

265 papers receiving 6.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Potential energy surfaces from high fidelity fitting ofab initiopoints: the permutation invariant polynomial - neural network approach

2016 337 citations Jun Li, Hua Guo et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jun Li China	46	3.4k	1.6k	1.6k	1.0k	606	275	6.8k
Edward R. Grant United States	40	3.6k 1.1×	2.0k 1.3×	551 0.4×	631 0.6×	530 0.9×	235	6.0k
Bin Jiang China	58	5.3k 1.6×	1.6k 1.0×	4.2k 2.7×	1.1k 1.0×	570 0.9×	510	12.3k
Haobin Wang China	58	6.0k 1.8×	1.4k 0.9×	984 0.6×	279 0.3×	1.3k 2.1×	235	10.4k
Wenjian Liu China	56	5.0k 1.5×	1.6k 1.0×	2.0k 1.3×	188 0.2×	286 0.5×	256	9.6k
Roy E. Bruns Brazil	31	1.0k 0.3×	1.3k 0.8×	540 0.3×	405 0.4×	988 1.6×	238	6.6k
Baron Peters United States	42	1.2k 0.4×	318 0.2×	2.4k 1.6×	1.1k 1.0×	677 1.1×	148	6.4k
Bryan M. Wong United States	51	1.3k 0.4×	707 0.4×	3.3k 2.1×	744 0.7×	1.4k 2.3×	220	9.1k
Fan Wang China	36	1.7k 0.5×	476 0.3×	1.3k 0.9×	174 0.2×	476 0.8×	160	5.0k
Di Li China	43	465 0.1×	898 0.6×	1.6k 1.0×	655 0.6×	670 1.1×	481	7.7k
Xueguang Shao China	50	861 0.3×	1.0k 0.6×	2.0k 1.3×	485 0.5×	1.9k 3.2×	414	9.5k

Countries citing papers authored by Jun Li

Since Specialization

Citations

This map shows the geographic impact of Jun Li's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Li more than expected).

Fields of papers citing papers by Jun Li

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun Li. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jun Li. The network helps show where Jun Li may publish in the future.

Co-authorship network of co-authors of Jun Li

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Li. A scholar is included among the top collaborators of Jun Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jun Li. Jun Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Song, K. & Jun Li. (2025). Ro-Vibrational Mode Specificity in the Dynamics of the OH + CH ₃ OH Reaction. The Journal of Physical Chemistry A. 129(48). 11189–11202.

Kan, Qixin, Peipei Wang, Jun Li, et al.. (2024). Tracing the change of the volatile compounds of soy sauce at different fermentation times by PTR-TOF-MS, E-nose and GC–MS. Food Chemistry X. 25. 102002–102002. 4 indexed citations

Zhang, Qian, et al.. (2024). Linking electron-rich Pillar[5]arene into hyper-cross-linked polymers for highly effective adsorption of iodine vapor. Journal of Solid State Chemistry. 331. 124528–124528. 8 indexed citations

Qin, Jie & Jun Li. (2024). The quasi-classical trajectory study of vibrational mode-specific dynamics of the multi-channel reaction OH− + CH3F. Computational and Theoretical Chemistry. 1235. 114555–114555. 1 indexed citations

Yuan, Dao-Fu, Yang Liu, Tarek Trabelsi, et al.. (2024). Probing the dynamics and bottleneck of the key atmospheric SO ₂ oxidation reaction by the hydroxyl radical. Proceedings of the National Academy of Sciences. 121(6). e2314819121–e2314819121. 13 indexed citations

Song, K. & Jun Li. (2024). Fundamental Invariant Neural Network (FI-NN) Potential Energy Surface for the OH + CH₃OH Reaction with Analytical Forces. The Journal of Physical Chemistry A. 128(32). 6636–6647. 5 indexed citations

Song, K. & Jun Li. (2023). The neural network based Δ-machine learning approach efficiently brings the DFT potential energy surface to the CCSD(T) quality: a case for the OH + CH ₃ OH reaction. Physical Chemistry Chemical Physics. 25(16). 11192–11204. 14 indexed citations

Lin, Xiao‐Min, et al.. (2023). Transport Parameters for Combustion Species Based on cAMOEBA Polarizable Force Field. Journal of Chemical Theory and Computation. 19(11). 3237–3250. 1 indexed citations

Song, K., Hongwei Song, & Jun Li. (2022). Validating experiments for the reaction H ₂ + NH ₂ ⁻ by dynamical calculations on an accurate full-dimensional potential energy surface. Physical Chemistry Chemical Physics. 24(17). 10160–10167. 12 indexed citations

10.

Liu, Yang & Jun Li. (2022). Permutation-Invariant-Polynomial Neural-Network-Based Δ-Machine Learning Approach: A Case for the HO ₂ Self-Reaction and Its Dynamics Study. The Journal of Physical Chemistry Letters. 13(21). 4729–4738. 35 indexed citations

11.

Luo, Han, et al.. (2022). Nucleophilic Aromatic Substitution of 5-Bromo-1,2,3-triazines with Phenols. The Journal of Organic Chemistry. 87(5). 2590–2600. 5 indexed citations

12.

Lü, Dandan, Jun Chen, Hua Guo, & Jun Li. (2021). Vibrational energy pooling via collisions between asymmetric stretching excited CO₂: a quasi-classical trajectory study on an accurate full-dimensional potential energy surface. Physical Chemistry Chemical Physics. 23(42). 24165–24174. 6 indexed citations

13.

Liu, Yang, Hongwei Song, Daiqian Xie, Jun Li, & Hua Guo. (2020). Mode Specificity in the OH + HO₂ → H₂O + O₂ Reaction: Enhancement of Reactivity by Exciting a Spectator Mode. Journal of the American Chemical Society. 142(7). 3331–3335. 37 indexed citations

14.

Lu, Dandan & Jun Li. (2020). マルチチャネル反応プロトタイプのモード特異性 F+CH_3OH→HF+CH_3O/CH_2OH【JST・京大機械翻訳】. Theoretical Chemistry Accounts. 139(10). 157. 1 indexed citations

15.

Li, Jun, Bin Zhao, Daiqian Xie, & Hua Guo. (2020). Advances and New Challenges to Bimolecular Reaction Dynamics Theory. The Journal of Physical Chemistry Letters. 11(20). 8844–8860. 58 indexed citations

16.

Li, Jun, et al.. (2019). Quantum dynamical investigation of product state distributions of the F + CH3OH → HF + CH3O reaction via photodetachment of the F−(HOCH3) anion. The Journal of Chemical Physics. 150(4). 44301–44301. 5 indexed citations

17.

Lü, Dandan, Jun Li, & Hua Guo. (2019). Stereodynamical control of product branching in multi-channel barrierless hydrogen abstraction of CH₃OH by F. Chemical Science. 10(34). 7994–8001. 25 indexed citations

18.

Lü, Dandan, et al.. (2019). Photoelectron–Photofragment Coincidence Studies on the Dissociation Dynamics of the OH–CH₄ Complex. The Journal of Physical Chemistry A. 123(23). 4825–4833. 10 indexed citations

19.

Li, Jun. (2012). Analysis of Chaos Combustion Process in Spark Ignition Natural Gas Engine. Journal of Beijing University of Technology. 1 indexed citations

20.

Li, Jun. (2011). Troubleshooting to MLC of Varian 23EX Linear Acceleraor.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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