Xinhang Wan

463 total citations · 1 hit paper
15 papers, 231 citations indexed

About

Xinhang Wan is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Urban Studies. According to data from OpenAlex, Xinhang Wan has authored 15 papers receiving a total of 231 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Artificial Intelligence, 11 papers in Computer Vision and Pattern Recognition and 3 papers in Urban Studies. Recurrent topics in Xinhang Wan's work include Advanced Clustering Algorithms Research (12 papers), Face and Expression Recognition (8 papers) and Image Retrieval and Classification Techniques (4 papers). Xinhang Wan is often cited by papers focused on Advanced Clustering Algorithms Research (12 papers), Face and Expression Recognition (8 papers) and Image Retrieval and Classification Techniques (4 papers). Xinhang Wan collaborates with scholars based in China. Xinhang Wan's co-authors include Xinwang Liu, Jiyuan Liu, Weixuan Liang, En Zhu, Siwei Wang, Yi Wen, Ke Liang, Lu Zhou, Zhe Liu and Wen Yi and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Xinhang Wan

12 papers receiving 229 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

One-Step Multi-View Clustering With Diverse Representation

2024 48 citations Xinhang Wan, Jiyuan Liu et al. IEEE Transactions on Neural Networks and Learning Systems profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Xinhang Wan China	7	167	164	24	20	17	15	231
Weixuan Liang China	8	266 1.6×	239 1.5×	31 1.3×	41 2.0×	37 2.2×	17	356
Yalan Qin China	11	263 1.6×	167 1.0×	5 0.2×	36 1.8×	42 2.5×	20	307
Naganand Yadati India	6	115 0.7×	152 0.9×	41 1.7×	1 0.1×	5 0.3×	8	200
Valentin Khrulkov Russia	5	76 0.5×	95 0.6×	6 0.3×		9 0.5×	9	150
Shuang Yi China	8	420 2.5×	49 0.3×	5 0.2×	5 0.3×	8 0.5×	21	452
Lingyuan Meng China	5	45 0.3×	136 0.8×	18 0.8×	2 0.1×	5 0.3×	10	163
Adam Woźnica Switzerland	7	117 0.7×	87 0.5×	5 0.2×	2 0.1×	14 0.8×	9	182
Satoshi Tsutsui United States	7	122 0.7×	98 0.6×	9 0.4×		9 0.5×	18	186
Madhav Nimishakavi India	5	32 0.2×	66 0.4×	39 1.6×	1 0.1×	4 0.2×	7	99

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-authorship network of co-authors of Xinhang Wan

This figure shows the co-authorship network connecting the top 25 collaborators of Xinhang Wan. A scholar is included among the top collaborators of Xinhang Wan 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 Xinhang Wan. Xinhang Wan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

15 of 15 papers shown

1.

Yu, Hao, Chuan Ma, Xinhang Wan, et al.. (2025). DShield: Defending against Backdoor Attacks on Graph Neural Networks via Discrepancy Learning. 1 indexed citations

2.

Liang, Weixuan, et al.. (2025). Incremental Multi-View Clustering: Exploring Stream-View Correlations to Learn Consistency and Diversity. IEEE Transactions on Knowledge and Data Engineering. 37(12). 7226–7239.

3.

Liu, Jiyuan, Chuankun Li, Xinhang Wan, et al.. (2025). Large-scale Multi-view Tensor Clustering with Implicit Linear Kernels. 20727–20736. 1 indexed citations

4.

Wan, Xinhang, et al.. (2025). Anchor-Guided Sample-and-Feature Incremental Alignment Framework for Multi-View Clustering. IEEE Transactions on Circuits and Systems for Video Technology. 36(3). 2882–2893.

5.

Liu, Jiyuan, Xinwang Liu, Xinhang Wan, et al.. (2025). Communication-Efficient Federated Multi-View Clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence. 48(1). 17–32. 1 indexed citations

6.

Yan, Weiqing, et al.. (2025). Incomplete Multi-view Clustering via Diffusion Contrastive Generation. Proceedings of the AAAI Conference on Artificial Intelligence. 39(21). 22650–22658.

7.

Liang, Weixuan, Xinhang Wan, Jiyuan Liu, et al.. (2025). Incremental Nyström-based Multiple Kernel Clustering. Proceedings of the AAAI Conference on Artificial Intelligence. 39(16). 16613–16621. 2 indexed citations

8.

Wan, Xinhang, Jiyuan Liu, Xinwang Liu, et al.. (2024). One-Step Multi-View Clustering With Diverse Representation. IEEE Transactions on Neural Networks and Learning Systems. 36(3). 5774–5786. 48 indexed citations breakdown →

9.

Wan, Xinhang, Jiyuan Liu, Hao Yu, et al.. (2024). Contrastive Continual Multiview Clustering With Filtered Structural Fusion. IEEE Transactions on Neural Networks and Learning Systems. 36(8). 14829–14842. 6 indexed citations

10.

Wan, Xinhang, et al.. (2024). A Lightweight Anchor-Based Incremental Framework for Multi-view Clustering. 8652–8661. 2 indexed citations

11.

Wang, Jun, Zhenglai Li, Chang Tang, et al.. (2024). Multiple Kernel Clustering With Adaptive Multi-Scale Partition Selection. IEEE Transactions on Knowledge and Data Engineering. 36(11). 6641–6652. 8 indexed citations

12.

Wan, Xinhang, Bin Xiao, Xinwang Liu, et al.. (2024). Fast Continual Multi-View Clustering With Incomplete Views. IEEE Transactions on Image Processing. 33. 2995–3008. 30 indexed citations

13.

Wen, Yi, Siwei Wang, Qing Liao, et al.. (2023). Unpaired Multi-View Graph Clustering With Cross-View Structure Matching. IEEE Transactions on Neural Networks and Learning Systems. 35(11). 16049–16063. 41 indexed citations

14.

Wan, Xinhang, Xinwang Liu, Jiyuan Liu, et al.. (2023). Auto-Weighted Multi-View Clustering for Large-Scale Data. Proceedings of the AAAI Conference on Artificial Intelligence. 37(8). 10078–10086. 53 indexed citations

15.

Wan, Xinhang, Jiyuan Liu, Weixuan Liang, et al.. (2022). Continual Multi-view Clustering. Proceedings of the 30th ACM International Conference on Multimedia. 3676–3684. 38 indexed citations

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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