Xinhang Wan

519 citations
17 papers · 261 · 1 hit paper · h-index 7

Impact in

Papers in

Xinhang Wan

12 papers receiving 259 citations

Xinhang Wan's Hit Papers

One-Step Multi-View Clustering With Diverse Representation 2024 · 58 citations
580+1Years since publication1020304050

Peers

Xinhang Wan
Comparison fields: 5 of 34
  • Computational Mathematics 12
  • Computer Vision and Pattern Recognition 178
  • Artificial Intelligence 173
  • Urban Studies 20
  • Statistical and Nonlinear Physics 25
Replace Weixuan Liang with:
Weixuan Liang China
Uno Fang Australia
Zhitong Zhao China
Yalan Qin China
Naganand Yadati India
Suriya Gunasekar United States
Madhav Nimishakavi India
Shuang Yi China
Lingyuan Meng China
Xinhang Wan relative to Weixuan Liang China Weixuan Liang's profile →
Citations per field
00.5×1.5×
Weixuan Liang · 1×
Citations per year

Countries citing papers authored by Xinhang Wan

Since Specialization
Citations

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

Fields of papers citing papers by Xinhang Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Xinhang Wan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Xinhang Wan Line = papers co-authored together Xinhang Wan links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1
One-Step Multi-View Clustering With Diverse Representation
Hit paper breakdown →
202458
2 202358
3 202342
4 202239
5 202438
6 20249
7 20249
8 20252
9 20252
10 20242
11 20251
12 20251
13 20250
14 20260
15 20250
16 20250
17 20260

About Xinhang Wan

Xinhang Wan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Urban Studies, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 17 papers that have together received 261 indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (12 papers), Face and Expression Recognition (8 papers), Image Retrieval and Classification Techniques (4 papers), Advanced Computing and Algorithms (3 papers), Video Surveillance and Tracking Methods (2 papers), Tensor decomposition and applications (1 paper), Advanced Graph Neural Networks (1 paper) and Complex Network Analysis Techniques (1 paper). The work is most often cited by research in Computational Mathematics (12 citations), Computer Vision and Pattern Recognition (178 citations), Artificial Intelligence (173 citations), Urban Studies (20 citations) and Statistical and Nonlinear Physics (25 citations). Xinhang Wan has collaborated with scholars based in China, Hong Kong and Singapore. Frequent co-authors include Xinwang Liu, En Zhu, Jiyuan Liu, Weixuan Liang, Siwei Wang, Yi Wen, Wen Yi, Ke Liang, Lu Zhou and Qing Liao. Their work appears in journals such as IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Image Processing, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Transactions on Circuits and Systems for Video Technology.

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.

Explore authors with similar magnitude of impact