Han-Lin Li

64 papers receiving 1.5k citations

Peers

Han-Lin Li
Comparison fields: 5 of 120
  • Numerical Analysis 201
  • Management Science and Operations Research 407
  • Management Information Systems 266
  • Industrial and Manufacturing Engineering 288
  • Control and Systems Engineering 455
Replace G. Anandalingam with:
G. Anandalingam United States
Andy Philpott New Zealand
Julia L. Higle United States
Gautam Appa United Kingdom
Frederic H. Murphy United States
Shaojian Qu China
Miguel A. Lejeune United States
Suvrajeet Sen United States
Freerk A. Lootsma Netherlands
Han-Lin Li relative to G. Anandalingam United States G. Anandalingam's profile →
Citations per field
00.5×10×
G. Anandalingam · 1×
Citations per year

Countries citing papers authored by Han-Lin Li

Since Specialization
Citations

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

Fields of papers citing papers by Han-Lin Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000418
2 2012244
3 202175
4 199465
5 200241
6 199339
7 200239
8 200937
9 200836
10 200536
11 200832
12 199831
13 199931
14 200128
15 199227
16 201226
17 200525
18 200521
19 200621
20 199920

About Han-Lin Li

Han-Lin Li is a scholar working on Control and Systems Engineering, Numerical Analysis, Computational Theory and Mathematics, Management Science and Operations Research and Industrial and Manufacturing Engineering, having authored 68 papers that have together received 1.6k indexed citations. Recurring topics across this work include Advanced Optimization Algorithms Research (20 papers), Optimization and Mathematical Programming (15 papers), Multi-Criteria Decision Making (12 papers), Vehicle Routing Optimization Methods (7 papers), Optimization and Packing Problems (6 papers), Rough Sets and Fuzzy Logic (5 papers), Bayesian Modeling and Causal Inference (5 papers) and Advanced Control Systems Optimization (5 papers). The work is most often cited by research in Numerical Analysis (201 citations), Management Science and Operations Research (407 citations), Management Information Systems (266 citations), Industrial and Manufacturing Engineering (288 citations) and Control and Systems Engineering (455 citations). Han-Lin Li has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Gwo‐Hshiung Tzeng, Wan-Yu Chiu, Jung‐Fa Tsai, Hao‐Chun Lu, Xiaoguang Jin, Yao‐Huei Huang, Jing‐Rung Yu, Chian‐Son Yu, Shu‐Cherng Fang and Ming‐Hsien Chen. Their work appears in journals such as European Journal of Operational Research, Fuzzy Sets and Systems, Computers & Operations Research, INFORMS journal on computing and International Journal of Information Technology & Decision Making.

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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