Ying Xing

17 total papers · 575 total citations
8 papers, 277 citations indexed

About

Ying Xing is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Ying Xing has authored 8 papers receiving a total of 277 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Artificial Intelligence, 4 papers in Cognitive Neuroscience and 2 papers in Molecular Biology. Recurrent topics in Ying Xing's work include Functional Brain Connectivity Studies (4 papers), Machine Learning in Healthcare (3 papers) and Neural dynamics and brain function (2 papers). Ying Xing is often cited by papers focused on Functional Brain Connectivity Studies (4 papers), Machine Learning in Healthcare (3 papers) and Neural dynamics and brain function (2 papers). Ying Xing collaborates with scholars based in China, United States and Canada. Ying Xing's co-authors include Yuhui Du, Vince D. Calhoun, Peter Kochunov, L. Elliot Hong, Mustafa S. Salman, Zening Fu, Dongdong Lin, Anees Abrol, Jiayu Chen and Md Abdur Rahaman and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, NeuroImage and Schizophrenia Bulletin.

In The Last Decade

Ying Xing

8 papers receiving 276 citations

Hit Papers

NeuroMark: An automated a... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Ying Xing 222 89 45 40 39 8 277
Marc-André Schulz 132 0.6× 62 0.7× 36 0.8× 66 1.6× 30 0.8× 11 287
Qingyang Li 167 0.8× 72 0.8× 15 0.3× 57 1.4× 18 0.5× 14 319
Johanna Bayer 154 0.7× 94 1.1× 47 1.0× 24 0.6× 31 0.8× 7 271
Alex Fedorov 109 0.5× 53 0.6× 18 0.4× 53 1.3× 52 1.3× 6 201
Xin Zhang 257 1.2× 125 1.4× 42 0.9× 14 0.3× 37 0.9× 18 298
Maite García‐Sebastián 118 0.5× 61 0.7× 16 0.4× 44 1.1× 125 3.2× 24 327
Lijun An 96 0.4× 59 0.7× 21 0.5× 71 1.8× 59 1.5× 9 223
Gemeng Zhang 172 0.8× 97 1.1× 26 0.6× 32 0.8× 13 0.3× 15 237
Harini Eavani 250 1.1× 156 1.8× 25 0.6× 17 0.4× 37 0.9× 12 311
Silke Dodel 249 1.1× 92 1.0× 23 0.5× 20 0.5× 9 0.2× 14 306

Countries citing papers authored by Ying Xing

Since Specialization
Citations

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

Fields of papers citing papers by Ying Xing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Xing

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