Ling Gou

13 total papers · 420 total citations
10 papers, 295 citations indexed

About

Ling Gou is a scholar working on Industrial and Manufacturing Engineering, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Ling Gou has authored 10 papers receiving a total of 295 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Industrial and Manufacturing Engineering, 4 papers in Molecular Biology and 3 papers in Artificial Intelligence. Recurrent topics in Ling Gou's work include Scheduling and Optimization Algorithms (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Advanced Manufacturing and Logistics Optimization (3 papers). Ling Gou is often cited by papers focused on Scheduling and Optimization Algorithms (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Advanced Manufacturing and Logistics Optimization (3 papers). Ling Gou collaborates with scholars based in China, United States and Japan. Ling Gou's co-authors include Peter B. Luh, Yuji Kyoya, Tetsuo Hasegawa, Jingsong Li, Tianshu Zhou, Makoto Tsuji, Kiyoshi Yoneda, Ye Li, Yifan Zhang and Denan Lin and has published in prestigious journals such as Annals of Operations Research, Computers in Industry and Journal of Biomedical Informatics.

In The Last Decade

Ling Gou

9 papers receiving 273 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ling Gou 196 53 48 40 28 10 295
Banu Çalış Uslu 151 0.8× 84 1.6× 59 1.2× 19 0.5× 10 0.4× 10 279
Hadeli 207 1.1× 40 0.8× 55 1.1× 45 1.1× 29 1.0× 16 317
Andreas Wiesner 76 0.4× 31 0.6× 116 2.4× 70 1.8× 16 0.6× 10 248
Junwen Ding 283 1.4× 49 0.9× 61 1.3× 10 0.3× 29 1.0× 21 350
Andreas Solti 47 0.2× 44 0.8× 81 1.7× 223 5.6× 23 0.8× 15 277
Dave Corne 144 0.7× 49 0.9× 128 2.7× 8 0.2× 35 1.3× 9 324
NA Nataliya Mulyar 22 0.1× 81 1.5× 135 2.8× 242 6.0× 30 1.1× 9 356
J. Corera 39 0.2× 54 1.0× 185 3.9× 53 1.3× 12 0.4× 11 275
Andrew W. Shogan 178 0.9× 55 1.0× 29 0.6× 68 1.7× 43 1.5× 10 348
Girish Joglekar 40 0.2× 18 0.3× 37 0.8× 42 1.1× 41 1.5× 11 238

Countries citing papers authored by Ling Gou

Since Specialization
Citations

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

Fields of papers citing papers by Ling Gou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ling Gou

This figure shows the co-authorship network connecting the top 25 collaborators of Ling Gou. A scholar is included among the top collaborators of Ling Gou based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ling Gou. Ling Gou is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026