Keping Li

217 papers receiving 3.1k citations

Peers

Keping Li
Comparison fields: 5 of 113
  • Transportation 1.5k
  • Industrial and Manufacturing Engineering 1.3k
  • Building and Construction 715
  • Safety, Risk, Reliability and Quality 392
  • Control and Systems Engineering 1.0k
Replace Jianjun Wu with:
Jianjun Wu China
George List United States
Pitu B. Mirchandani United States
Francesco Corman Switzerland
Lixing Yang China
Ruey Long Cheu United States
Liping Fu Canada
Mike Maher United Kingdom
David Z.W. Wang Singapore
Keping Li relative to Jianjun Wu China Jianjun Wu's profile →
Citations per field
00.5×1.5×2.3×
Jianjun Wu · 1×
Citations per year

Countries citing papers authored by Keping Li

Since Specialization
Citations

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

Fields of papers citing papers by Keping Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 232 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011140
2 2009110
3 2014105
4 2020100
5 201694
6 201292
7 200689
8 201571
9 200871
10 201865
11 201064
12 200758
13 202057
14 200557
15 201752
16 201651
17 200950
18 201449
19 201346
20 201545

About Keping Li

Keping Li is a scholar working on Transportation, Control and Systems Engineering, Building and Construction, Industrial and Manufacturing Engineering and Safety, Risk, Reliability and Quality, having authored 232 papers that have together received 3.3k indexed citations. Recurring topics across this work include Transportation Planning and Optimization (109 papers), Traffic control and management (76 papers), Traffic Prediction and Management Techniques (73 papers), Railway Systems and Energy Efficiency (48 papers), Traffic and Road Safety (31 papers), Complex Network Analysis Techniques (24 papers), Railway Engineering and Dynamics (21 papers) and Evacuation and Crowd Dynamics (12 papers). The work is most often cited by research in Transportation (1.5k citations), Industrial and Manufacturing Engineering (1.3k citations), Building and Construction (715 citations), Safety, Risk, Reliability and Quality (392 citations) and Control and Systems Engineering (1.0k citations). Keping Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ziyou Gao, Lixing Yang, Ziyou Gao, Shukai Li, Ying Ni, Xiaoming Xu, Jian Sun, Bin Ning, Xiaomei Zhao and Dongyang Yan. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Journal of Advanced Transportation, International Journal of Modern Physics C, Reliability Engineering & System Safety and Chinese Physics Letters.

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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