Yongjun Zhu

96 total papers · 1.4k total citations
63 papers, 849 citations indexed

About

Yongjun Zhu is a scholar working on Artificial Intelligence, Molecular Biology and Statistics, Probability and Uncertainty. According to data from OpenAlex, Yongjun Zhu has authored 63 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 15 papers in Molecular Biology and 15 papers in Statistics, Probability and Uncertainty. Recurrent topics in Yongjun Zhu's work include scientometrics and bibliometrics research (15 papers), Biomedical Text Mining and Ontologies (11 papers) and Topic Modeling (8 papers). Yongjun Zhu is often cited by papers focused on scientometrics and bibliometrics research (15 papers), Biomedical Text Mining and Ontologies (11 papers) and Topic Modeling (8 papers). Yongjun Zhu collaborates with scholars based in South Korea, United States and China. Yongjun Zhu's co-authors include Erjia Yan, Il‐Yeol Song, Fei Wang, Meen Chul Kim, Chao Che, Chang Su, Chaomei Chen, Jie Tong, Peng Cui and Bo Jin and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and Information Sciences.

In The Last Decade

Yongjun Zhu

56 papers receiving 820 citations

Author Peers

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

Author						Papers	Cites
Yongjun Zhu	244	242	132	114	106	63	849
Daniel Teichroew	115 0.5×	77 0.3×	64 0.5×	79 0.7×	77 0.7×	42	915
Serkan Ayvaz	294 1.2×	89 0.4×	61 0.5×	127 1.1×	41 0.4×	33	881
Ying Chen	174 0.7×	92 0.4×	57 0.4×	83 0.7×	70 0.7×	72	808
Murat M. Tanik	233 1.0×	103 0.4×	50 0.4×	198 1.7×	77 0.7×	117	757
Francesco Osborne	509 2.1×	120 0.5×	16 0.1×	182 1.6×	43 0.4×	63	813
Xia Lin	533 2.2×	92 0.4×	40 0.3×	370 3.2×	21 0.2×	75	1.0k
Nicolas Lachiche	332 1.4×	64 0.3×	164 1.2×	172 1.5×	55 0.5×	48	875
Kristin M. Tolle	216 0.9×	95 0.4×	48 0.4×	297 2.6×	42 0.4×	16	1.0k
Mark Greaves	224 0.9×	56 0.2×	35 0.3×	114 1.0×	221 2.1×	39	860
Riza Batista-Navarro	462 1.9×	260 1.1×	42 0.3×	185 1.6×	24 0.2×	86	832

Countries citing papers authored by Yongjun Zhu

Since Specialization

Citations

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

Fields of papers citing papers by Yongjun Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yongjun Zhu

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