Xiao Ding

604 total citations
46 papers, 265 citations indexed

About

Xiao Ding is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Electrical and Electronic Engineering. According to data from OpenAlex, Xiao Ding has authored 46 papers receiving a total of 265 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 8 papers in Statistical and Nonlinear Physics and 7 papers in Electrical and Electronic Engineering. Recurrent topics in Xiao Ding's work include Advanced Graph Neural Networks (7 papers), Complex Network Analysis Techniques (7 papers) and Topic Modeling (5 papers). Xiao Ding is often cited by papers focused on Advanced Graph Neural Networks (7 papers), Complex Network Analysis Techniques (7 papers) and Topic Modeling (5 papers). Xiao Ding collaborates with scholars based in China, United States and Singapore. Xiao Ding's co-authors include Haifeng Zhang, Chuang Ma, Bing Qin, Xingyi Zhang, Guangfu Tang, Ting Liu, Ting Liu, Hui Pang, Longlong Chen and Yunfeng Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gastroenterology and Journal of Hepatology.

In The Last Decade

Xiao Ding

43 papers receiving 259 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiao Ding China 10 111 45 45 34 27 46 265
Eric S. Téllez Mexico 12 175 1.6× 38 0.8× 50 1.1× 11 0.3× 47 1.7× 42 317
Aniello De Santo United States 6 76 0.7× 30 0.7× 17 0.4× 43 1.3× 61 2.3× 21 204
Beatriz Pérez‐Sánchez Spain 9 153 1.4× 36 0.8× 36 0.8× 7 0.2× 15 0.6× 29 255
Xiaofeng Yu Hong Kong 10 189 1.7× 17 0.4× 29 0.6× 20 0.6× 81 3.0× 35 308
Chen Guo China 9 55 0.5× 18 0.4× 41 0.9× 10 0.3× 23 0.9× 40 261
Adam Pearce United States 4 143 1.3× 10 0.2× 23 0.5× 8 0.2× 25 0.9× 8 293
Y. Cao China 4 63 0.6× 34 0.8× 29 0.6× 8 0.2× 32 1.2× 10 217
Xiangxi Wen China 9 32 0.3× 24 0.5× 91 2.0× 74 2.2× 12 0.4× 40 288

Countries citing papers authored by Xiao Ding

Since Specialization
Citations

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

Fields of papers citing papers by Xiao Ding

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiao Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Xiao Ding. A scholar is included among the top collaborators of Xiao 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 Xiao Ding. Xiao 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.
Ding, Xiao, et al.. (2025). Enhancing Graph Structure Learning via Motif-Driven Hypergraph Construction. IEEE Transactions on Network Science and Engineering. 12(3). 2333–2344. 1 indexed citations
2.
Huhe, Taoli, et al.. (2025). Co-Production of Polysaccharides and Platform Sugars from Wheat Straw Fermented with Irpex lacteus. Sustainability. 17(10). 4581–4581. 1 indexed citations
3.
Zhang, Haifeng, et al.. (2025). A mean-field approximation-based linearization framework for network reconstruction from binary time series. Chaos An Interdisciplinary Journal of Nonlinear Science. 35(9). 1 indexed citations
4.
5.
Ding, Xiao, et al.. (2024). Self-Evolving GPT: A Lifelong Autonomous Experiential Learner. 6385–6432. 3 indexed citations
6.
Ding, Xiao, et al.. (2024). Link Prediction in Multilayer Networks via Cross-Network Embedding. Proceedings of the AAAI Conference on Artificial Intelligence. 38(8). 8939–8947. 1 indexed citations
7.
Zhang, Haifeng, et al.. (2024). Physics-informed line graph neural network for power flow calculation. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(11).
8.
Ding, Xiao, Ling-Wei Kong, Haifeng Zhang, & Ying‐Cheng Lai. (2024). Deep-learning reconstruction of complex dynamical networks from incomplete data. Chaos An Interdisciplinary Journal of Nonlinear Science. 34(4). 4 indexed citations
9.
Zhang, Haifeng, et al.. (2024). Collaborative Cross-Network Embedding Framework for Network Alignment. IEEE Transactions on Network Science and Engineering. 11(3). 2989–3001. 4 indexed citations
10.
Ding, Xiao, et al.. (2024). Extracting Higher Order Topological Semantic via Motif-Based Deep Graph Neural Networks. IEEE Transactions on Computational Social Systems. 11(4). 5444–5453. 2 indexed citations
11.
Ding, Xiao, Huan Wang, Xi Zhang, Chuang Ma, & Haifeng Zhang. (2024). Dual nature of cyber–physical power systems and the mitigation strategies. Reliability Engineering & System Safety. 244. 109958–109958. 16 indexed citations
12.
Li, Zhiqiang, et al.. (2024). Impact of excessive daytime sleepiness on attention impairment in obstructive sleep apnea: a cross-sectional observational study. European Archives of Oto-Rhino-Laryngology. 281(10). 5503–5510. 1 indexed citations
13.
14.
Ding, Xiao, et al.. (2023). A Flexible Monitoring Framework via Dynamic-Multilayer Graph Convolution Network. IEEE Transactions on Instrumentation and Measurement. 72. 1–11. 8 indexed citations
15.
Ding, Xiao, Zhongyang Li, Li Du, et al.. (2022). ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. 6426–6438.
16.
Hu, Wen, et al.. (2022). SMPC-Ranking: A Privacy-Preserving Method on Identifying Influential Nodes in Multiple Private Networks. IEEE Transactions on Systems Man and Cybernetics Systems. 53(5). 2971–2982. 15 indexed citations
17.
Ding, Xiao, et al.. (2022). User Identification Across Multiple Social Networks Based on Naive Bayes Model. IEEE Transactions on Neural Networks and Learning Systems. 35(3). 4274–4285. 19 indexed citations
18.
Ding, Xiao, Chuang Ma, Xingyi Zhang, Hanshuang Chen, & Haifeng Zhang. (2021). SOIDP: Predicting Interlayer Links in Multiplex Networks. IEEE Transactions on Computational Social Systems. 9(4). 997–1007. 13 indexed citations
19.
Ding, Xiao, et al.. (2018). Key stress extraction and equivalent test method for hybrid DC circuit breaker. SHILAP Revista de lepidopterología. 4 indexed citations
20.
Yao, Zhihong, et al.. (2017). Dynamic Traffic Flow Prediction Model for Real-Time Adaptive Signal Control in Vehicle Infrastructure Integration Environment. Transportation Research Board 96th Annual MeetingTransportation Research Board. 2 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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2026