Yilun Jin

59 total papers · 1.4k total citations
28 papers, 681 citations indexed

About

Yilun Jin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Yilun Jin has authored 28 papers receiving a total of 681 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Information Systems. Recurrent topics in Yilun Jin's work include Advanced Graph Neural Networks (9 papers), Graph Theory and Algorithms (4 papers) and Privacy-Preserving Technologies in Data (3 papers). Yilun Jin is often cited by papers focused on Advanced Graph Neural Networks (9 papers), Graph Theory and Algorithms (4 papers) and Privacy-Preserving Technologies in Data (3 papers). Yilun Jin collaborates with scholars based in China, Hong Kong and United States. Yilun Jin's co-authors include Qiang Yang, Yang Liu, Tianjian Chen, Tao Fan, Kewei Cheng, Dimitrios Papadopoulos, Guojie Song, Kai Chen, Qingqing Long and Wenyu Zhang and has published in prestigious journals such as Expert Systems with Applications, IEEE Access and IEEE Intelligent Systems.

In The Last Decade

Yilun Jin

27 papers receiving 660 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

Author Peers

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

Author						Papers	Cites
Yilun Jin	503	88	83	81	72	28	681
Dongwen Zhang	289 0.6×	48 0.5×	104 1.3×	42 0.5×	66 0.9×	15	559
Yifang Qin	330 0.7×	39 0.4×	159 1.9×	121 1.5×	62 0.9×	37	606
Manos Papagelis	245 0.5×	124 1.4×	194 2.3×	101 1.2×	132 1.8×	45	718
Lin Yue	493 1.0×	34 0.4×	150 1.8×	52 0.6×	41 0.6×	30	723
Weiqing Liu	274 0.5×	34 0.4×	87 1.0×	84 1.0×	49 0.7×	32	751
Faliang Huang	389 0.8×	33 0.4×	131 1.6×	148 1.8×	43 0.6×	50	686
Gabriel Pui Cheong Fung	343 0.7×	29 0.3×	121 1.5×	77 1.0×	46 0.6×	31	602
Bin Jia	294 0.6×	62 0.7×	228 2.7×	38 0.5×	41 0.6×	35	627
Yuming Ou	351 0.7×	23 0.3×	184 2.2×	72 0.9×	33 0.5×	31	562
Zhao Zhang	325 0.6×	140 1.6×	66 0.8×	63 0.8×	28 0.4×	41	586

Countries citing papers authored by Yilun Jin

Since Specialization

Citations

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

Fields of papers citing papers by Yilun Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yilun Jin

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