Geng Lin

1.1k citations
65 papers · 795 · h-index 16

Impact in

Papers in

Geng Lin

62 papers receiving 749 citations

Peers

Geng Lin
Comparison fields: 5 of 116
  • Industrial and Manufacturing Engineering 209
  • Computer Networks and Communications 199
  • Information Systems 131
  • Computer Vision and Pattern Recognition 112
  • Computational Theory and Mathematics 77
Replace Vincent Cicirello with:
Vincent Cicirello United States
Mohd Zakree Ahmad Nazri Malaysia
Christos Alexakos Greece
Lukas Esterle Denmark
Alexandre Plastino Brazil
Iveta Zolotová Slovakia
Antonio M. Mora Spain
Yeh-Cheng Chen United States
Horst Samulowitz United States
Christian Müller-Schloer Germany
Geng Lin relative to Vincent Cicirello United States Vincent Cicirello's profile →
Citations per field
00.5×5.9×
Vincent Cicirello · 1×
Citations per year

Countries citing papers authored by Geng Lin

Since Specialization
Citations

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

Fields of papers citing papers by Geng Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 65 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200996
2 201582
3 202057
4 200355
5 201636
6 201236
7 201732
8 201929
9 200925
10 201923
11 201921
12 200821
13 201318
14 202016
15 201815
16 201915
17 201715
18 202013
19 201212
20 201412

About Geng Lin

Geng Lin is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering, Industrial and Manufacturing Engineering, Artificial Intelligence and Computational Theory and Mathematics, having authored 65 papers that have together received 795 indexed citations. Recurring topics across this work include Metaheuristic Optimization Algorithms Research (11 papers), Vehicle Routing Optimization Methods (11 papers), Optimization and Packing Problems (7 papers), Interconnection Networks and Systems (7 papers), Advanced Graph Theory Research (6 papers), VLSI and FPGA Design Techniques (6 papers), Optimization and Search Problems (5 papers) and Complexity and Algorithms in Graphs (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (209 citations), Computer Networks and Communications (199 citations), Information Systems (131 citations), Computer Vision and Pattern Recognition (112 citations) and Computational Theory and Mathematics (77 citations). Geng Lin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jian Guan, Wenxing Zhu, M. Montaz Ali, Haiping Xu, Zuoping Xie, Zhijun Liu, Xiangping He, James Q. Zheng, Ruxin Li and Nicholas Pippenger. Their work appears in journals such as IEEE Access, Knowledge-Based Systems, Computers & Operations Research, Expert Systems with Applications and Wireless Communications and Mobile Computing.

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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