Weiping Ding

17.7k total citations · 9 hit papers
587 papers, 11.6k citations indexed

About

Weiping Ding is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computational Theory and Mathematics. According to data from OpenAlex, Weiping Ding has authored 587 papers receiving a total of 11.6k indexed citations (citations by other indexed papers that have themselves been cited), including 311 papers in Artificial Intelligence, 192 papers in Computer Vision and Pattern Recognition and 133 papers in Computational Theory and Mathematics. Recurrent topics in Weiping Ding's work include Rough Sets and Fuzzy Logic (123 papers), Text and Document Classification Technologies (67 papers) and Data Mining Algorithms and Applications (45 papers). Weiping Ding is often cited by papers focused on Rough Sets and Fuzzy Logic (123 papers), Text and Document Classification Technologies (67 papers) and Data Mining Algorithms and Applications (45 papers). Weiping Ding collaborates with scholars based in China, Australia and Macao. Weiping Ding's co-authors include Chin‐Teng Lin, Lin Sun, Yuhua Qian, Jiucheng Xu, Mohamed Abdel‐Basset, Jianming Zhan, Zehong Cao, Mukesh Prasad, Witold Pedrycz and Weihua Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Applied Catalysis B: Environmental.

In The Last Decade

Weiping Ding

519 papers receiving 11.3k citations

Hit Papers

A review of clustering te... 2017 2026 2020 2023 2017 2019 2021 2021 2022 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Weiping Ding 5.3k 2.9k 2.9k 1.8k 1.6k 587 11.6k
Guoyin Wang 5.1k 1.0× 2.3k 0.8× 4.0k 1.4× 2.7k 1.5× 1.3k 0.8× 629 12.2k
Xizhao Wang 5.6k 1.1× 2.3k 0.8× 3.1k 1.1× 1.8k 1.0× 1.7k 1.1× 366 10.7k
Sankar K. Pal 6.9k 1.3× 5.9k 2.1× 3.3k 1.2× 2.0k 1.1× 1.6k 1.0× 332 16.5k
Qiang Shen 5.0k 0.9× 1.7k 0.6× 3.4k 1.2× 2.2k 1.2× 1.4k 0.9× 387 10.5k
Chengqi Zhang 6.6k 1.2× 2.6k 0.9× 1.3k 0.4× 2.9k 1.6× 875 0.6× 616 15.3k
Nikhil R. Pal 7.5k 1.4× 5.3k 1.8× 1.4k 0.5× 894 0.5× 1.7k 1.1× 266 15.5k
Janez Demšar 6.6k 1.2× 2.3k 0.8× 1.2k 0.4× 1.6k 0.9× 645 0.4× 54 11.4k
Andreas Krause 4.9k 0.9× 2.2k 0.8× 1.8k 0.6× 1.2k 0.7× 1.4k 0.9× 270 15.3k
Thomas G. Dietterich 8.5k 1.6× 3.9k 1.4× 1.1k 0.4× 1.8k 1.0× 642 0.4× 167 15.3k
Alberto Fernández 10.8k 2.0× 2.0k 0.7× 1.4k 0.5× 1.8k 1.0× 836 0.5× 99 14.7k

Countries citing papers authored by Weiping Ding

Since Specialization
Citations

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

Fields of papers citing papers by Weiping Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Weiping Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Weiping Ding. A scholar is included among the top collaborators of Weiping Ding 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 Weiping Ding. Weiping Ding 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.
Huang, Jiashuang, et al.. (2025). JLR-GCN: Joint label-aware and relation-aware graph convolution neural network for heterogeneous graph representations. Information Sciences. 706. 122011–122011.
2.
Qian, Wenbin, et al.. (2024). Partial label feature selection based on noisy manifold and label distribution. Pattern Recognition. 156. 110791–110791. 3 indexed citations
3.
Deveci, Muhammet, Dursun Delen, & Weiping Ding. (2024). AI-based decision support systems for sustainable business management under circular economy. Annals of Operations Research. 342(1). 1–3. 1 indexed citations
4.
Yang, Shengyi, et al.. (2024). Incremental high average-utility itemset mining: survey and challenges. Scientific Reports. 14(1). 9924–9924. 1 indexed citations
5.
Wen, Long, et al.. (2024). GRU-AE-wiener: A generative adversarial network assisted hybrid gated recurrent unit with Wiener model for bearing remaining useful life estimation. Mechanical Systems and Signal Processing. 220. 111663–111663. 29 indexed citations
6.
Fei, Liguo, Tao Li, Xiaoyu Liu, & Weiping Ding. (2024). A novel multi-source information fusion method for emergency spatial resilience assessment based on Dempster-Shafer theory. Information Sciences. 686. 121373–121373. 11 indexed citations
7.
Wang, Yixuan, Guoqiang Li, Xiaoyan Wang, et al.. (2024). Single grain pIRIR dating of glacigenic deposits in the Yuzhu Peak area of Kunlun Mountains of Tibetan Plateau revealed the glaciations during Holocene period. Quaternary Geochronology. 83. 101586–101586.
8.
Ding, Weiping, et al.. (2024). ELSNC: A semi-supervised community detection method with integration of embedding-enhanced links and node content in attributed networks. Applied Soft Computing. 167. 112250–112250. 1 indexed citations
9.
Ding, Weiping, et al.. (2024). Exploring view-specific label relationships for multi-view multi-label feature selection. Information Sciences. 681. 121215–121215. 5 indexed citations
10.
Ma, Xueling, et al.. (2023). Information granules-based long-term forecasting of time series via BPNN under three-way decision framework. Information Sciences. 634. 696–715. 49 indexed citations
11.
Ding, Weiping, et al.. (2023). Research on robust fault-tolerant control of the controllable suspension based on knowledge-data fusion driven. Scientific Reports. 13(1). 22723–22723.
12.
Jin, Zhi, et al.. (2023). Vision-Knowledge Fusion Model for Multi-Domain Medical Report Generation. SSRN Electronic Journal. 3 indexed citations
13.
Selvachandran, Ganeshsree, et al.. (2023). Cervical Cancer Classification From Pap Smear Images Using Deep Convolutional Neural Network Models. Interdisciplinary Sciences Computational Life Sciences. 16(1). 16–38. 38 indexed citations
14.
Huang, Jiashuang, et al.. (2023). Spatial–Temporal Complex Graph Convolution Network for Traffic Flow Prediction. Engineering Applications of Artificial Intelligence. 121. 106044–106044. 81 indexed citations breakdown →
15.
Jain, Deepak Kumar, Weiping Ding, & Ketan Kotecha. (2023). Training fuzzy deep neural network with honey badger algorithm for intrusion detection in cloud environment. International Journal of Machine Learning and Cybernetics. 14(6). 2221–2237. 19 indexed citations
16.
Małysiak-Mrozek, Bożena, et al.. (2023). From Corrective to Predictive Maintenance—A Review of Maintenance Approaches for the Power Industry. Sensors. 23(13). 5970–5970. 94 indexed citations breakdown →
17.
Liao, Huchang, Jiaxin Qi, Jiawei Zhang, et al.. (2023). Mining and fusing unstructured online reviews and structured public index data for hospital selection. Information Fusion. 103. 102142–102142. 10 indexed citations
18.
Qiao, Junsheng, et al.. (2023). Three-way conflict analysis and resolution based on q-rung orthopair fuzzy information. Information Sciences. 638. 118959–118959. 32 indexed citations
19.
Sun, Lin, Yu‐Sheng Chen, Weiping Ding, Jiucheng Xu, & Yuanyuan Ma. (2023). AMFSA: Adaptive fuzzy neighborhood-based multilabel feature selection with ant colony optimization. Applied Soft Computing. 138. 110211–110211. 16 indexed citations
20.
Ding, Weiping, Ying Sun, Jiashuang Huang, et al.. (2023). RCAR-UNet: Retinal vessel segmentation network algorithm via novel rough attention mechanism. Information Sciences. 657. 120007–120007. 27 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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