Minheng Ni

513 total citations
10 papers, 275 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 275 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 Topic Modeling (5 papers), Multimodal Machine Learning Applications (5 papers) and Generative Adversarial Networks and Image Synthesis (3 papers). Minheng Ni is often cited by papers focused on Topic Modeling (5 papers), Multimodal Machine Learning Applications (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 Wanxiang Che, Libo Qin, Yue Zhang, Yangming Li, Ting Liu, Ting Liu, Nan Duan, Lijuan Wang, Edward Cui and Haoyang Huang 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 268 citations

Peers

Minheng Ni
Comparison fields: 5 of 36
  • Artificial Intelligence 230
  • Computer Vision and Pattern Recognition 94
  • Experimental and Cognitive Psychology 12
  • Information Systems 11
  • Social Psychology 9
Replace Conghui Zhu with:
Conghui Zhu China
Nikunj Saunshi United States
Qihuang Zhong China
Yftah Ziser United Kingdom
Tong Niu United States
Aditya Mogadala India
Alane Suhr United States
Haizhou Zhao China
Arjun Akula United States
Chelsea Voss Canada
Conghui Zhu China View profile →
Citations per field, relative to Minheng Ni
Minheng Ni · 1×
Citations per year, relative to Minheng Ni
Minheng Ni · 1×

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

10 of 10 papers shown
# Work Indexed citations
1 2
2 1
3 18
4 13
5 3
6 17
7 42
8 38
9 78
10 63

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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