Xiaoan Tang

1.2k total citations · 1 hit paper
59 papers, 819 citations indexed

About

Xiaoan Tang is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Xiaoan Tang has authored 59 papers receiving a total of 819 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Computer Vision and Pattern Recognition, 20 papers in Artificial Intelligence and 16 papers in Management Science and Operations Research. Recurrent topics in Xiaoan Tang's work include Multi-Criteria Decision Making (16 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Video Surveillance and Tracking Methods (5 papers). Xiaoan Tang is often cited by papers focused on Multi-Criteria Decision Making (16 papers), Advanced Image and Video Retrieval Techniques (6 papers) and Video Surveillance and Tracking Methods (5 papers). Xiaoan Tang collaborates with scholars based in China, Canada and Poland. Xiaoan Tang's co-authors include Qiang Zhang, Ting Huang, Shanlin Yang, Witold Pedrycz, Shuangyao Zhao, Xiaonong Lu, Dongdong Guan, Zhanglin Peng, Deliang Xiang and Gangyao Kuang and has published in prestigious journals such as Nature Communications, European Journal of Operational Research and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Xiaoan Tang

56 papers receiving 796 citations

Hit Papers

A novel fault diagnosis m... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaoan Tang China 15 257 223 207 122 113 59 819
Éric Lefèvre France 15 256 1.0× 211 0.9× 439 2.1× 80 0.7× 157 1.4× 47 928
Zhu Zhen-fu China 5 325 1.3× 135 0.6× 309 1.5× 103 0.8× 156 1.4× 8 711
Minxia Luo China 16 400 1.6× 118 0.5× 549 2.7× 132 1.1× 207 1.8× 49 1.0k
Ting Jin China 18 121 0.5× 161 0.7× 307 1.5× 65 0.5× 78 0.7× 40 895
Xiaoyan Su China 18 557 2.2× 197 0.9× 472 2.3× 52 0.4× 267 2.4× 65 1.3k
Catherine K. Murphy United States 4 366 1.4× 129 0.6× 411 2.0× 68 0.6× 186 1.6× 7 817
Chen‐Chia Chuang Taiwan 14 95 0.4× 384 1.7× 639 3.1× 194 1.6× 69 0.6× 63 1.1k
Zhong Wan China 18 58 0.2× 240 1.1× 133 0.6× 83 0.7× 198 1.8× 109 982
Stefano Zambelli Italy 7 130 0.5× 192 0.9× 479 2.3× 75 0.6× 58 0.5× 29 876
Tao Xiong China 11 280 1.1× 110 0.5× 246 1.2× 70 0.6× 54 0.5× 17 841

Countries citing papers authored by Xiaoan Tang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaoan Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaoan Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoan Tang. A scholar is included among the top collaborators of Xiaoan Tang 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 Xiaoan Tang. Xiaoan Tang 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
2.
Tang, Xiaoan, et al.. (2025). Consensus reaching model with self-confidence-based dynamic weights and personalized adjustment constraints for multi-attribute group decision making. Computers & Industrial Engineering. 203. 111032–111032. 1 indexed citations
3.
Zhang, Yao, Zhongxun Yu, Xiaoan Tang, et al.. (2024). Synchronized crystallization in tin-lead perovskite solar cells. Nature Communications. 15(1). 6887–6887. 66 indexed citations
4.
Tang, Xiaoan, et al.. (2024). Constructing Perturbation Matrices of Prototypes for Enhancing the Performance of Fuzzy Decoding Mechanism. International Journal of Intelligent Systems. 2024. 1–10. 1 indexed citations
5.
Tang, Xiaoan, et al.. (2024). Enhancement of the performance of high-dimensional fuzzy classification with feature combination optimization. Information Sciences. 680. 121183–121183. 2 indexed citations
6.
Huang, Ting, Witold Pedrycz, Qiang Zhang, Xiaoan Tang, & Shanlin Yang. (2024). Constructing order-2 information granules of linguistic expressions with the aid of the principle of justifiable granularity. European Journal of Operational Research. 318(3). 892–910. 3 indexed citations
7.
Tang, Xiaoan, et al.. (2024). Double deep Q-network-based dynamic offloading decision-making for mobile edge computing with regular hexagonal deployment structure of servers. Applied Soft Computing. 169. 112594–112594. 3 indexed citations
8.
Tang, Xiaoan, et al.. (2024). Augmentation of degranulation mechanism for high-dimensional data with a multi-round optimization strategy. Fuzzy Sets and Systems. 486. 108969–108969. 2 indexed citations
9.
Li, Ling, Yinghua Shen, Bingsheng Liu, et al.. (2023). A two-stage consensus model for large-scale group decision-making considering dynamic social networks. Information Fusion. 100. 101972–101972. 26 indexed citations
10.
Huang, Ting, Xiaoan Tang, Shuangyao Zhao, Qiang Zhang, & Witold Pedrycz. (2022). Linguistic information-based granular computing based on a tournament selection operator-guided PSO for supporting multi-attribute group decision-making with distributed linguistic preference relations. Information Sciences. 610. 488–507. 18 indexed citations
12.
Tang, Xiaoan, et al.. (2020). Distractor-Aware Tracking with Multi-Task and Dynamic Feature Learning. Journal of Circuits Systems and Computers. 30(2). 2150031–2150031. 2 indexed citations
14.
Guan, Dongdong, Deliang Xiang, Ganggang Dong, et al.. (2018). SAR Image Classification by Exploiting Adaptive Contextual Information and Composite Kernels. IEEE Geoscience and Remote Sensing Letters. 15(7). 1035–1039. 14 indexed citations
15.
Guan, Dongdong, Deliang Xiang, Xiaoan Tang, & Gangyao Kuang. (2018). SAR Image Despeckling Based on Nonlocal Low-Rank Regularization. IEEE Transactions on Geoscience and Remote Sensing. 57(6). 3472–3489. 41 indexed citations
16.
Wang, Li, Xiaoan Tang, & Dongdong Li. (2017). Robust Tracking via Spatio-Temporally Weighted Multiple Instance Learning. 1–8. 2 indexed citations
17.
Guan, Dongdong, et al.. (2016). A geographic information based sea-land segmentation method for HR optical remote sensing image. 3553–3556. 1 indexed citations
18.
Xue, Min, Xiaoan Tang, & Nanping Feng. (2016). An Extended VIKOR Method for Multiple Attribute Decision Analysis with Bidimensional Dual Hesitant Fuzzy Information. Mathematical Problems in Engineering. 2016. 1–16. 7 indexed citations
19.
Tang, Xiaoan, et al.. (2009). Research on Spatial Data Sharing of Ocean Environment Based on GML. Modern Electronics Technique. 32(6).
20.
Tang, Xiaoan, et al.. (2009). A General Geo-spatial Multi-scale Conceptual Model for Automatic Generalization. 6754. 433–437. 1 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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