Jin Li

141 papers receiving 1.8k citations

Jin Li's Hit Papers

Proceedings of the 2016 ACM on Multimedia Conference 2016 · 238 citations
2380+3+6Years since publication50100150200

Peers

Jin Li
Comparison fields: 5 of 169
  • Modeling and Simulation 206
  • Numerical Analysis 203
  • Statistical and Nonlinear Physics 133
  • Computer Vision and Pattern Recognition 211
  • Automotive Engineering 122
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Jin Li relative to Salem Alkhalaf Saudi Arabia Salem Alkhalaf's profile →
Citations per field
00.5×6.4×
Salem Alkhalaf · 1×
Citations per year

Countries citing papers authored by Jin Li

Since Specialization
Citations

This map shows the geographic impact of Jin 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 Jin Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Li more than expected).

Fields of papers citing papers by Jin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin 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 Jin Li. The network helps show where Jin Li may publish in the future.

Co-authors

The 25 scholars most cited alongside Jin Li, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin Li Line = papers co-authored together Jin Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 161 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Proceedings of the 2016 ACM on Multimedia Conference
Hit paper breakdown →
2016238
2 2023107
3 201583
4 202375
5 200666
6 201962
7 200960
8 202051
9 202047
10 202039
11 202238
12 201937
13 202035
14 199132
15 202130
16 201129
17 201626
18 202224
19 202224
20 199023

About Jin Li

Jin Li is a scholar working on Mechanics of Materials, Numerical Analysis, Modeling and Simulation, Mechanical Engineering and Civil and Structural Engineering, having authored 161 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fractional Differential Equations Solutions (29 papers), Numerical methods in engineering (27 papers), Iterative Methods for Nonlinear Equations (24 papers), Electromagnetic Scattering and Analysis (12 papers), Nonlinear Waves and Solitons (9 papers), Advanced Numerical Methods in Computational Mathematics (9 papers), Mathematical functions and polynomials (9 papers) and Advanced Numerical Analysis Techniques (8 papers). The work is most often cited by research in Modeling and Simulation (206 citations), Numerical Analysis (203 citations), Statistical and Nonlinear Physics (133 citations), Computer Vision and Pattern Recognition (211 citations) and Automotive Engineering (122 citations). Jin Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Cees G. M. Snoek, Aisling Kelliher, Dick C. A. Bulterman, Ioannis Kompatsiaris, Alan Hanjalić, Marcel Worring, Benoît Huet, Yujie Yang, Zhangxing He and Lei Dai. Their work appears in journals such as Applied Mathematics and Computation, Computers & Mathematics with Applications, The International Journal of Advanced Manufacturing Technology, Computer Modeling in Engineering & Sciences and Mathematical Biosciences & Engineering.

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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