Tongxin Li

85 papers receiving 1.0k citations

Peers

Tongxin Li
Comparison fields: 5 of 126
  • Automotive Engineering 263
  • Signal Processing 206
  • Software 50
  • Pollution 116
  • Information Systems 180
Replace Lanjun Wang with:
Lanjun Wang China
Meng Yue United States
Rongheng Lin China
Binbin Yong China
Ying Han China
George Tsatsaronis Germany
Jinfu Chen China
Mahmoud M. Amin United States
Jianxue Wang China
Tongxin Li relative to Lanjun Wang China Lanjun Wang's profile →
Citations per field
00.5×8.3×
Lanjun Wang · 1×
Citations per year

Countries citing papers authored by Tongxin Li

Since Specialization
Citations

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

Fields of papers citing papers by Tongxin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tongxin 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 Tongxin Li Line = papers co-authored together Tongxin Li links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019238
2 202352
3 201849
4 202244
5 201641
6 201838
7 201431
8 202330
9 202029
10 201526
11 201726
12 202025
13 202124
14 201924
15 202022
16 201620
17 202318
18
Picking up my tab: understanding and mitigating synchronized token lifting and spending in mobile payment
201717
19 202415
20 201715

About Tongxin Li

Tongxin Li is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications, Artificial Intelligence, Information Systems and Control and Systems Engineering, having authored 92 papers that have together received 1.1k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (10 papers), Smart Grid Energy Management (10 papers), Mycobacterium research and diagnosis (10 papers), Advanced Malware Detection Techniques (9 papers), Electric Vehicles and Infrastructure (7 papers), Energy, Environment, Economic Growth (7 papers), Optical Imaging and Spectroscopy Techniques (6 papers) and Advanced Control Systems Optimization (6 papers). The work is most often cited by research in Automotive Engineering (263 citations), Signal Processing (206 citations), Software (50 citations), Pollution (116 citations) and Information Systems (180 citations). Tongxin Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Steven H. Low, Zachary J. Lee, Chenxi Sun, Luyi Xing, Xiaofeng Wang, Xinhui Han, Xiaolong Bai, Hua Fang, Yunlong Yu and Xiaoying Tang. Their work appears in journals such as Resources Policy, ACM SIGMETRICS Performance Evaluation Review, International Journal of Climatology, Electric Power Systems Research and IEEE Transactions on Transportation Electrification.

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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