Pengsheng Ji

21 total papers · 545 total citations
11 papers, 273 citations indexed

About

Pengsheng Ji is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Molecular Biology. According to data from OpenAlex, Pengsheng Ji has authored 11 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Statistical and Nonlinear Physics and 3 papers in Molecular Biology. Recurrent topics in Pengsheng Ji's work include Complex Network Analysis Techniques (5 papers), Bioinformatics and Genomic Networks (3 papers) and scientometrics and bibliometrics research (2 papers). Pengsheng Ji is often cited by papers focused on Complex Network Analysis Techniques (5 papers), Bioinformatics and Genomic Networks (3 papers) and scientometrics and bibliometrics research (2 papers). Pengsheng Ji collaborates with scholars based in United States. Pengsheng Ji's co-authors include Jiashun Jin, Sheng Li, Xiaodong Jiang, Adam Quinn, Larry Nackerud, Ronghang Zhu, Wan‐Shan Li, Zheng Tracy Ke, H. R. Boerma and Zenglu Li and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Journal of Machine Learning Research and Journal of Business and Economic Statistics.

In The Last Decade

Pengsheng Ji

11 papers receiving 270 citations

Author Peers

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

Author						Papers	Cites
Pengsheng Ji	99	89	34	33	31	11	273
Lionel Tabourier	46 0.5×	113 1.3×	6 0.2×	9 0.3×	17 0.5×	15	263
Homa Hosseinmardi	162 1.6×	126 1.4×	3 0.1×	53 1.6×	34 1.1×	15	322
Scott Emmons	49 0.5×	65 0.7×	3 0.1×	23 0.7×	16 0.5×	10	232
Mariano G. Beiró	33 0.3×	67 0.8×	10 0.3×	10 0.3×	7 0.2×	14	200
Tanmay Basu	154 1.6×	16 0.2×	9 0.3×	6 0.2×	64 2.1×	16	269
Dandan Wang	42 0.4×	26 0.3×	42 1.2×	3 0.1×	32 1.0×	25	299
Adham Beykikhoshk	124 1.3×	11 0.1×	7 0.2×	43 1.3×	23 0.7×	11	272
Giulia Cencetti	36 0.4×	181 2.0×	3 0.1×	29 0.9×	43 1.4×	17	319
Ming Dong	153 1.5×	62 0.7×	4 0.1×	22 0.7×	73 2.4×	17	265
Baojun Qiu	182 1.8×	149 1.7×	3 0.1×	22 0.7×	70 2.3×	10	324

Countries citing papers authored by Pengsheng Ji

Since Specialization

Citations

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

Fields of papers citing papers by Pengsheng Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pengsheng Ji

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