Ran Gu

721 citations
52 papers · 478 · h-index 11

Impact in

Papers in

Ran Gu

45 papers receiving 464 citations

Peers

Ran Gu
Comparison fields: 5 of 89
  • Discrete Mathematics and Combinatorics 46
  • Marketing 121
  • Strategy and Management 190
  • Management Information Systems 98
  • Computational Theory and Mathematics 94
Replace Xiaoran Shi with:
Xiaoran Shi China
Yazhi Song China
Nanda Piersma Netherlands
Cheng Ma China
Tao Pang United States
Yulin Zhang China
Linlin Zhang China
Reza Eslamipoor Iran
Ran Gu relative to Xiaoran Shi China Xiaoran Shi's profile →
Citations per field
00.5×1.7×
Xiaoran Shi · 1×
Citations per year

Countries citing papers authored by Ran Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ran Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021141
2 202167
3 202033
4 202230
5 201129
6 202125
7 202018
8 201516
9 202211
10 201511
11 201410
12 20198
13
General Randic matrix and general Randi'c energy
20148
14 20236
15 20226
16 20245
17 20125
18 20145
19 20124
20 20144

About Ran Gu

Ran Gu is a scholar working on Computational Theory and Mathematics, Discrete Mathematics and Combinatorics, Geometry and Topology, Strategy and Management and Management Information Systems, having authored 52 papers that have together received 478 indexed citations. Recurring topics across this work include Advanced Graph Theory Research (16 papers), Limits and Structures in Graph Theory (13 papers), Graph theory and applications (10 papers), Supply Chain and Inventory Management (8 papers), Sustainable Supply Chain Management (7 papers), Flood Risk Assessment and Management (5 papers), Graph Labeling and Dimension Problems (5 papers) and Hydrology and Watershed Management Studies (5 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (46 citations), Marketing (121 citations), Strategy and Management (190 citations), Management Information Systems (98 citations) and Computational Theory and Mathematics (94 citations). Ran Gu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Shigui Ma, Yong He, Shanshan Li, Xueliang Li, Yongtang Shi, Simon J. L. Billinge, Xueliang Li, Qiang Du, Fei Huang and Taotao Zhang. Their work appears in journals such as Discrete Applied Mathematics, Journal of Retailing and Consumer Services, IMA Journal of Numerical Analysis, Theoretical Computer Science and International Journal of Production Research.

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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