Jilin Mei

47 total papers · 442 total citations
23 papers, 275 citations indexed

About

Jilin Mei is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Jilin Mei has authored 23 papers receiving a total of 275 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 7 papers in Aerospace Engineering. Recurrent topics in Jilin Mei's work include Advanced Neural Network Applications (12 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Robotics and Sensor-Based Localization (7 papers). Jilin Mei is often cited by papers focused on Advanced Neural Network Applications (12 papers), Domain Adaptation and Few-Shot Learning (8 papers) and Robotics and Sensor-Based Localization (7 papers). Jilin Mei collaborates with scholars based in China and United States. Jilin Mei's co-authors include Huijing Zhao, Biao Gao, Chengkun Li, Wen Yao, Xijun Zhao, Donghao Xu, Yu Hu, Hongbin Zha, Yufeng Yu and Wenbin Fu and has published in prestigious journals such as Brain Research, Pattern Recognition and Behavioural Brain Research.

In The Last Decade

Jilin Mei

20 papers receiving 267 citations

Author Peers

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

Author						Papers	Cites
Jilin Mei	135	90	77	67	66	23	275
Jiantao Gao	220 1.6×	58 0.6×	112 1.5×	67 1.0×	77 1.2×	16	320
Francis Engelmann	114 0.8×	44 0.5×	66 0.9×	64 1.0×	34 0.5×	17	198
Siqi Fan	105 0.8×	136 1.5×	132 1.7×	132 2.0×	24 0.4×	24	313
Inwook Shim	183 1.4×	46 0.5×	23 0.3×	50 0.7×	112 1.7×	29	293
Vicente Morell	172 1.3×	69 0.8×	58 0.8×	75 1.1×	107 1.6×	26	322
Rohit Mohan	164 1.2×	48 0.5×	31 0.4×	22 0.3×	45 0.7×	22	250
Jan Quenzel	153 1.1×	69 0.8×	29 0.4×	75 1.1×	168 2.5×	16	255
Daniele Cattaneo	162 1.2×	92 1.0×	34 0.4×	88 1.3×	202 3.1×	17	298
Anshul Paigwar	116 0.9×	83 0.9×	22 0.3×	48 0.7×	83 1.3×	15	246
Thang Vu	175 1.3×	62 0.7×	85 1.1×	73 1.1×	45 0.7×	12	298

Countries citing papers authored by Jilin Mei

Since Specialization

Citations

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

Fields of papers citing papers by Jilin Mei

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jilin Mei

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