Minheng Ni

24 total papers · 510 total citations
10 papers, 269 citations indexed

About

Minheng Ni is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Minheng Ni has authored 10 papers receiving a total of 269 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 6 papers in Artificial Intelligence and 1 paper in Cancer Research. Recurrent topics in Minheng Ni's work include Multimodal Machine Learning Applications (5 papers), Topic Modeling (5 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Minheng Ni is often cited by papers focused on Multimodal Machine Learning Applications (5 papers), Topic Modeling (5 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Minheng Ni collaborates with scholars based in China, United States and United Kingdom. Minheng Ni's co-authors include Libo Qin, Wanxiang Che, Yue Zhang, Yangming Li, Ting Liu, Ting Liu, Nan Duan, Lijuan Wang, Dongdong Zhang and Lin Su and has published in prestigious journals such as IEEE/ACM Transactions on Audio Speech and Language Processing, ACM Transactions on Asian and Low-Resource Language Information Processing and Proceedings of the AAAI Conference on Artificial Intelligence.

In The Last Decade

Minheng Ni

10 papers receiving 262 citations

Author Peers

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

Author						Papers	Cites
Minheng Ni	226	91	11	11	9	10	269
Nouha Dziri	247 1.1×	60 0.7×	16 1.5×	22 2.0×	19 2.1×	16	296
Nick Cammarata	202 0.9×	90 1.0×	7 0.6×	7 0.6×	5 0.6×	10	301
Nikunj Saunshi	140 0.6×	62 0.7×	12 1.1×	4 0.4×	8 0.9×	8	180
Tong Niu	197 0.9×	43 0.5×	13 1.2×	8 0.7×	6 0.7×	14	217
Jon Gauthier	231 1.0×	61 0.7×	7 0.6×	6 0.5×	8 0.9×	10	267
Shauli Ravfogel	254 1.1×	79 0.9×	18 1.6×	5 0.5×	4 0.4×	16	304
Yftah Ziser	201 0.9×	39 0.4×	10 0.9×	8 0.7×	9 1.0×	15	223
Qihuang Zhong	216 1.0×	60 0.7×	19 1.7×	4 0.4×	7 0.8×	17	277
Aditya Mogadala	108 0.5×	53 0.6×	7 0.6×	4 0.4×	6 0.7×	14	151
Alane Suhr	176 0.8×	116 1.3×	18 1.6×	8 0.7×	5 0.6×	10	208

Countries citing papers authored by Minheng Ni

Since Specialization

Citations

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

Fields of papers citing papers by Minheng Ni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Minheng Ni

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