Steven Li

4.5k citations
117 papers · 3.6k · h-index 34

Impact in

Papers in

Steven Li

106 papers receiving 3.5k citations

Peers

Steven Li
Comparison fields: 5 of 147
  • Computational Theory and Mathematics 772
  • Software 162
  • Industrial and Manufacturing Engineering 392
  • Artificial Intelligence 1.2k
  • Management Science and Operations Research 428
Replace Junzo Watada with:
Junzo Watada Japan
Lamjed Ben Saïd Tunisia
João Clı́maco Portugal
Francisco Luna Spain
Samarjit Kar India
David L. Woodruff United States
Abu S. M. Masud United States
Jayant Kalagnanam United States
Yu‐Wang Chen United Kingdom
Gérard Cornuéjols United States
Steven Li relative to Junzo Watada Japan Junzo Watada's profile →
Citations per field
00.5×2×3×4×4.9×
Junzo Watada · 1×
Citations per year

Countries citing papers authored by Steven Li

Since Specialization
Citations

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

Fields of papers citing papers by Steven Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008260
2 2010202
3 2009170
4 2019169
5 2015167
6 2013153
7 2010131
8 2010130
9 2017125
10 2016110
11 2010103
12 201582
13 201181
14 201378
15 201871
16 201170
17 201669
18 201063
19 201560
20 201958

About Steven Li

Steven Li is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Finance, Economics and Econometrics and Control and Systems Engineering, having authored 117 papers that have together received 3.6k indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (37 papers), Advanced Multi-Objective Optimization Algorithms (25 papers), Evolutionary Algorithms and Applications (17 papers), Market Dynamics and Volatility (14 papers), Financial Risk and Volatility Modeling (14 papers), Financial Markets and Investment Strategies (13 papers), Robotic Path Planning Algorithms (8 papers) and Electric Power System Optimization (7 papers). The work is most often cited by research in Computational Theory and Mathematics (772 citations), Software (162 citations), Industrial and Manufacturing Engineering (392 citations), Artificial Intelligence (1.2k citations) and Management Science and Operations Research (428 citations). Steven Li has collaborated with scholars based in Australia, China and United States. Frequent co-authors include Liqun Gao, Dexuan Zou, Haibin Ouyang, Xiangyong Kong, Yang Hou, Zongyan Li, Lifu Wang, Zhi Kong, Simon S. Gao and Li Yang. Their work appears in journals such as Applied Soft Computing, International Review of Economics & Finance, Information Sciences, Neurocomputing and Expert Systems with Applications.

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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