Guojun Gan

3.9k citations
64 papers · 2.5k indexed · 2 hit papers · h-index 19
Topics
Insurance, Mortality, Demography, Risk Management (24 papers)demographic modeling and climate adaptation (16 papers)Advanced Clustering Algorithms Research (14 papers)
Journals
SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsPattern Recognition
Partner nations
United StatesCanadaChina

In The Last Decade

Guojun Gan

59 papers receiving 2.4k citations

Hit Papers

Data Clustering: Theory, Algorithms, and Applications2007202620132019200720202505007501000

Peers

Guojun Gan
Comparison fields: 5 of 165
  • Artificial Intelligence 1.2k
  • Computer Vision and Pattern Recognition 578
  • Demography 328
  • Management Science and Operations Research 306
  • Signal Processing 284
Replace Rong Chen with:
Rong Chen China
Kun Zhang United States
Panagiotis Pintelas Greece
Pierpaolo D’Urso Italy
José Hernández‐Orallo Spain
Moritz Hardt United States
Ying Hu China
Victoria López Spain
Guojun Gan relative to Rong Chen China Rong Chen's profile →
Citations per field
00.5×7.1×
Rong Chen · 1×
Citations per year

Countries citing papers authored by Guojun Gan

Since Specialization
Citations

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

Fields of papers citing papers by Guojun Gan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guojun Gan

This figure shows the co-authorship network connecting the top 25 collaborators of Guojun Gan. A scholar is included among the top collaborators of Guojun Gan 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 Guojun Gan. Guojun Gan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 2
4 2
5 3
6 2
7 14
8 2
9 6
10 8
11 8
12 3
13 14
14 17
15 31
16 40
17 2
18 87
19
Data Clustering: Theory, Algorithms, and Applications (ASA-SIAM Series on Statistics and Applied Probability)
174
20 75

About Guojun Gan

Guojun Gan is a scholar working on Demography, Management Science and Operations Research and Finance, having authored 64 papers that have together received 2.5k indexed citations. Recurring topics across this work include Insurance, Mortality, Demography, Risk Management (24 papers), demographic modeling and climate adaptation (16 papers) and Advanced Clustering Algorithms Research (14 papers). The work is most often cited by research in Artificial Intelligence (1.2k citations), Computer Vision and Pattern Recognition (578 citations) and Demography (328 citations). Guojun Gan has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jian Wu, Chaoqun Ma, Michael K. Ng, Emiliano A. Valdez, Shu‐Tao Xia, Bowen Zhao, Xi Xiao, Bin Zhang, X. Sheldon Lin and Junzheng Wu. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Pattern Recognition.

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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