Xin He

104 total papers · 5.4k total citations
62 papers, 2.5k citations indexed

About

Xin He is a scholar working on Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Xin He has authored 62 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 14 papers in Electrical and Electronic Engineering and 11 papers in Artificial Intelligence. Recurrent topics in Xin He's work include Advanced Data and IoT Technologies (5 papers), Advanced Neural Network Applications (5 papers) and Telecommunications and Broadcasting Technologies (4 papers). Xin He is often cited by papers focused on Advanced Data and IoT Technologies (5 papers), Advanced Neural Network Applications (5 papers) and Telecommunications and Broadcasting Technologies (4 papers). Xin He collaborates with scholars based in China, United States and Hong Kong. Xin He's co-authors include Xiaowen Chu, Kaiyong Zhao, Cong Yao, Shangbang Long, Meng Liu, Jiafeng Jiang, Jiangang Li, Ling Li, Hanliang Shao and Dong Yuanhua and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and European Journal of Operational Research.

In The Last Decade

Xin He

55 papers receiving 2.4k citations

Hit Papers

AutoML: A survey of the s... 2020 2026 2022 2024 2020 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Xin He 674 609 408 278 231 62 2.5k
Mamta Mittal 1.0k 1.5× 702 1.2× 356 0.9× 198 0.7× 219 0.9× 109 3.2k
Ferdinand van der Heijden 649 1.0× 1.4k 2.4× 502 1.2× 235 0.8× 198 0.9× 115 4.9k
Mauro Castelli 1.5k 2.2× 449 0.7× 393 1.0× 205 0.7× 120 0.5× 203 4.2k
Jair Cervantes 681 1.0× 451 0.7× 128 0.3× 207 0.7× 132 0.6× 49 2.2k
Saeid Jafarzadeh Ghoushchi 552 0.8× 612 1.0× 433 1.1× 129 0.5× 87 0.4× 92 3.1k
Mohammad Shorfuzzaman 705 1.0× 503 0.8× 435 1.1× 176 0.6× 98 0.4× 108 2.2k
Marina Sokolova 1.9k 2.8× 669 1.1× 282 0.7× 216 0.8× 154 0.7× 57 4.6k
Daji Ergu 527 0.8× 642 1.1× 77 0.2× 159 0.6× 160 0.7× 69 3.5k
Adnan Mohsin Abdulazeez 1.5k 2.3× 750 1.2× 485 1.2× 366 1.3× 123 0.5× 115 4.4k
Marko Robnik‐Šikonja 1.8k 2.7× 834 1.4× 207 0.5× 206 0.7× 94 0.4× 84 4.2k

Countries citing papers authored by Xin He

Since Specialization
Citations

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

Fields of papers citing papers by Xin He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin He

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