Geng Sun

117 total papers · 888 total citations
56 papers, 651 citations indexed

About

Geng Sun is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Numerical Analysis. According to data from OpenAlex, Geng Sun has authored 56 papers receiving a total of 651 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 17 papers in Media Technology and 11 papers in Numerical Analysis. Recurrent topics in Geng Sun's work include Remote-Sensing Image Classification (16 papers), Numerical methods for differential equations (10 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Geng Sun is often cited by papers focused on Remote-Sensing Image Classification (16 papers), Numerical methods for differential equations (10 papers) and Advanced Image and Video Retrieval Techniques (8 papers). Geng Sun collaborates with scholars based in China, United States and Hong Kong. Geng Sun's co-authors include Jie Chen, Min Deng, Ya Guo, Hongyu Liu, Fen He, Juan Cao, Jie Du, Liangliang Zhang, Yun S. Song and Zhao Zhang and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and Mathematics of Computation.

In The Last Decade

Geng Sun

49 papers receiving 633 citations

Author Peers

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

Author						Papers	Cites
Geng Sun	260	238	126	102	82	56	651
Liang Li	103 0.4×	83 0.3×	83 0.7×	45 0.4×	23 0.3×	100	698
Ke Guo	72 0.3×	72 0.3×	124 1.0×	49 0.5×	101 1.2×	45	605
Hui Lin	164 0.6×	408 1.7×	61 0.5×	267 2.6×	9 0.1×	35	722
Norsuzila Ya’acob	45 0.2×	70 0.3×	28 0.2×	39 0.4×	36 0.4×	146	739
Dongyang Fu	75 0.3×	45 0.2×	195 1.5×	86 0.8×	9 0.1×	68	679
Sizhe Wang	342 1.3×	86 0.4×	117 0.9×	29 0.3×	5 0.1×	49	689
Yan Li	94 0.4×	165 0.7×	88 0.7×	76 0.7×	4 0.0×	30	580
Loïc Landrieu	125 0.5×	120 0.5×	43 0.3×	69 0.7×	10 0.1×	30	658
Zhongjun Zhang	75 0.3×	61 0.3×	128 1.0×	157 1.5×	6 0.1×	51	660
Mehmet Akıf Günen	90 0.3×	82 0.3×	183 1.5×	47 0.5×	2 0.0×	37	553

Countries citing papers authored by Geng Sun

Since Specialization

Citations

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

Fields of papers citing papers by Geng Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geng Sun

This figure shows the co-authorship network connecting the top 25 collaborators of Geng Sun. A scholar is included among the top collaborators of Geng Sun 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 Geng Sun. Geng Sun 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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