Ning Ding

83 total papers · 4.3k total citations
33 papers, 1.7k citations indexed

About

Ning Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Surgery. According to data from OpenAlex, Ning Ding has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 7 papers in Computer Vision and Pattern Recognition and 2 papers in Surgery. Recurrent topics in Ning Ding's work include Topic Modeling (17 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (6 papers). Ning Ding is often cited by papers focused on Topic Modeling (17 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (6 papers). Ning Ding collaborates with scholars based in China, United States and Germany. Ning Ding's co-authors include Zhiyuan Liu, Maosong Sun, Hai-Tao Zheng, Weilin Zhao, Xu Han, Di Xie, Ramana Rao Kompella, Yuanming Hu, Juanzi Li and Shengding Hu and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Science and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Ning Ding

29 papers receiving 1.6k citations

Hit Papers

Parameter-efficient fine-... 2022 2026 2023 2024 2023 2022 2022 100 200 300

Author Peers

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

Author Last Decade Papers Cites
Ning Ding 1.1k 379 275 258 76 33 1.7k
Hasan Bulut 868 0.8× 343 0.9× 296 1.1× 165 0.6× 60 0.8× 57 1.5k
Sergio Ramírez‐Gallego 928 0.8× 360 0.9× 222 0.8× 212 0.8× 124 1.6× 21 1.6k
Sarah Jane Delany 930 0.8× 448 1.2× 248 0.9× 174 0.7× 85 1.1× 60 1.7k
Jing Li 1.0k 0.9× 205 0.5× 303 1.1× 183 0.7× 138 1.8× 44 1.7k
Harry Zhang 745 0.7× 279 0.7× 131 0.5× 225 0.9× 72 0.9× 29 1.4k
Wei Ye 734 0.6× 225 0.6× 179 0.7× 146 0.6× 65 0.9× 41 1.4k
Yixin Liu 1.0k 0.9× 220 0.6× 200 0.7× 182 0.7× 44 0.6× 47 1.3k
Ninghao Liu 1.4k 1.2× 359 0.9× 149 0.5× 247 1.0× 103 1.4× 70 2.1k
Salem Alelyani 738 0.6× 244 0.6× 156 0.6× 272 1.1× 37 0.5× 35 1.7k
Serdar Korukoğlu 1.1k 0.9× 317 0.8× 156 0.6× 276 1.1× 195 2.6× 43 2.0k

Countries citing papers authored by Ning Ding

Since Specialization
Citations

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

Fields of papers citing papers by Ning Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning Ding

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