Xingwang Zhao

1.1k total citations · 1 hit paper
23 papers, 776 citations indexed

About

Xingwang Zhao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Xingwang Zhao has authored 23 papers receiving a total of 776 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 8 papers in Computer Vision and Pattern Recognition and 7 papers in Information Systems. Recurrent topics in Xingwang Zhao's work include Advanced Clustering Algorithms Research (11 papers), Face and Expression Recognition (7 papers) and Data Mining Algorithms and Applications (5 papers). Xingwang Zhao is often cited by papers focused on Advanced Clustering Algorithms Research (11 papers), Face and Expression Recognition (7 papers) and Data Mining Algorithms and Applications (5 papers). Xingwang Zhao collaborates with scholars based in China, Hong Kong and Australia. Xingwang Zhao's co-authors include Jiye Liang, Yunsheng Song, Jing Lu, Fuyuan Cao, Chuangyin Dang, Deyu Li, Jie Wang, Liang Bai, Joshua Zhexue Huang and Yuhua Qian and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and Pattern Recognition.

In The Last Decade

Xingwang Zhao

23 papers receiving 753 citations

Hit Papers

An efficient instance selection algorithm for k nearest n... 2017 2026 2020 2023 2017 50 100 150 200 250
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.

  1. An efficient instance selection algorithm for k nearest neighbor regression
    2017 288 citations Yunsheng Song, Jiye Liang et al. Neurocomputing profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xingwang Zhao China 12 393 159 116 94 77 23 776
Krista Rizman Žalik Slovenia 12 342 0.9× 151 0.9× 89 0.8× 135 1.4× 35 0.5× 28 665
Malay K. Pakhira India 7 569 1.4× 264 1.7× 120 1.0× 82 0.9× 67 0.9× 22 915
Xuming Han China 12 311 0.8× 181 1.1× 70 0.6× 34 0.4× 39 0.5× 64 744
Chung-Chian Hsu Taiwan 16 411 1.0× 140 0.9× 115 1.0× 24 0.3× 53 0.7× 52 743
Weina Wang China 12 331 0.8× 193 1.2× 62 0.5× 40 0.4× 73 0.9× 25 761
Arnaud Martin France 15 474 1.2× 120 0.8× 129 1.1× 63 0.7× 130 1.7× 51 881
Sami Sieranoja Finland 8 483 1.2× 202 1.3× 102 0.9× 112 1.2× 39 0.5× 13 748
Athanasios Kehagias Greece 23 649 1.7× 214 1.3× 91 0.8× 55 0.6× 163 2.1× 72 1.3k
Nikhil Ketkar United States 8 177 0.5× 128 0.8× 64 0.6× 30 0.3× 45 0.6× 14 626

Countries citing papers authored by Xingwang Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Xingwang Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xingwang Zhao

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

All Works

20 of 20 papers shown
1.
Lai, Qingsong, Zhaomeng Liu, Xingwang Zhao, et al.. (2025). Defect engineering toward binary spinel ZnCo2O4 for boosting electrocatalytic nitrate reduction to ammonia. Chemical Engineering Journal. 520. 166332–166332. 1 indexed citations
2.
Han, Xu, Ping Zhao, Xingwang Zhao, & Bin Zi. (2025). Review on machine learning-based approaches for the kinematic analysis and synthesis of mechanisms. Frontiers of Mechanical Engineering. 20(2). 1 indexed citations
3.
Zhao, Xingwang, et al.. (2025). Machine Learning Helps Data Mining to Build Descriptor Databases for Lithium‐Ion Batteries. SHILAP Revista de lepidopterología. 2(3). 2 indexed citations
4.
Zhao, Xingwang, Shujun Wang, Xiaolin Liu, & Jiye Liang. (2024). Multi-view clustering via dynamic unified bipartite graph learning. Pattern Recognition. 156. 110715–110715. 9 indexed citations
5.
Liang, Jiye, et al.. (2022). A Bayesian matrix factorization model for dynamic user embedding in recommender system. Frontiers of Computer Science. 16(5). 1 indexed citations
6.
Cao, Fuyuan, et al.. (2020). Combining attribute content and label information for categorical data ensemble clustering. Applied Mathematics and Computation. 381. 125280–125280. 2 indexed citations
7.
Zhao, Xingwang, Jiye Liang, & Jie Wang. (2020). A community detection algorithm based on graph compression for large-scale social networks. Information Sciences. 551. 358–372. 82 indexed citations
8.
Xia, Yan, Shuguo Pan, Xiaolin Meng, et al.. (2020). Anomaly Detection for Urban Vehicle GNSS Observation with a Hybrid Machine Learning System. Remote Sensing. 12(6). 971–971. 23 indexed citations
9.
Wang, Jie, et al.. (2019). Protein complex detection algorithm based on multiple topological characteristics in PPI networks. Information Sciences. 489. 78–92. 12 indexed citations
10.
Liang, Jiye, et al.. (2018). Multi-view data ensemble clustering: a cluster-level perspective. 2(2). 165–165. 2 indexed citations
11.
Liang, Jiye, et al.. (2018). Multi-view data ensemble clustering: a cluster-level perspective. 2(2). 165–165. 1 indexed citations
12.
Zhao, Xingwang, Jiye Liang, & Chuangyin Dang. (2018). A stratified sampling based clustering algorithm for large-scale data. Knowledge-Based Systems. 163. 416–428. 41 indexed citations
13.
Zhao, Xingwang, Fuyuan Cao, & Jiye Liang. (2018). A sequential ensemble clusterings generation algorithm for mixed data. Applied Mathematics and Computation. 335. 264–277. 13 indexed citations
14.
Song, Yunsheng, Jiye Liang, Jing Lu, & Xingwang Zhao. (2017). An efficient instance selection algorithm for k nearest neighbor regression. Neurocomputing. 251. 26–34. 288 indexed citations breakdown →
15.
Zhao, Xingwang, Jiye Liang, & Chuangyin Dang. (2017). Clustering ensemble selection for categorical data based on internal validity indices. Pattern Recognition. 69. 150–168. 41 indexed citations
16.
Cao, Fuyuan, et al.. (2017). An Algorithm for Clustering Categorical Data With Set-Valued Features. IEEE Transactions on Neural Networks and Learning Systems. 29(10). 4593–4606. 26 indexed citations
17.
Liang, Jiye, et al.. (2016). A Clustering Ensemble Algorithm for Incomplete Mixed Data. 53(9). 1979. 2 indexed citations
18.
Cao, Fuyuan, Jiye Liang, Deyu Li, & Xingwang Zhao. (2012). A weighting k-modes algorithm for subspace clustering of categorical data. Neurocomputing. 108. 23–30. 51 indexed citations
19.
Cao, Fuyuan, Jiye Liang, Liang Bai, Xingwang Zhao, & Chuangyin Dang. (2010). A Framework for Clustering Categorical Time-Evolving Data. IEEE Transactions on Fuzzy Systems. 18(5). 872–882. 42 indexed citations
20.
Ong, Sim Heng & Xingwang Zhao. (2000). On post-clustering evaluation and modification. Pattern Recognition Letters. 21(5). 365–373. 6 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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