Feng Xia

19.6k total citations · 6 hit papers
470 papers, 12.8k citations indexed

About

Feng Xia is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Feng Xia has authored 470 papers receiving a total of 12.8k indexed citations (citations by other indexed papers that have themselves been cited), including 165 papers in Computer Networks and Communications, 138 papers in Artificial Intelligence and 85 papers in Information Systems. Recurrent topics in Feng Xia's work include Complex Network Analysis Techniques (78 papers), Advanced Graph Neural Networks (69 papers) and Mobile Ad Hoc Networks (47 papers). Feng Xia is often cited by papers focused on Complex Network Analysis Techniques (78 papers), Advanced Graph Neural Networks (69 papers) and Mobile Ad Hoc Networks (47 papers). Feng Xia collaborates with scholars based in China, Australia and United States. Feng Xia's co-authors include Xiangjie Kong, Zhaolong Ning, Laurence T. Yang, Wei Wang, Ivan Lee, Amr Tolba, Jiaying Liu, Peiran Dong, Alexey Vinel and Lizhe Wang and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Feng Xia

436 papers receiving 12.4k citations

Hit Papers

Internet of Things 2012 2026 2016 2021 2012 2018 2022 2015 2023 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Feng Xia 5.2k 3.6k 3.1k 2.6k 1.4k 470 12.8k
Zhipeng Cai 4.2k 0.8× 4.2k 1.2× 2.2k 0.7× 2.2k 0.8× 1.1k 0.8× 405 10.7k
Depeng Jin 4.8k 0.9× 2.5k 0.7× 2.7k 0.9× 4.5k 1.7× 975 0.7× 405 11.3k
Jie Wu 10.9k 2.1× 4.0k 1.1× 4.2k 1.4× 5.0k 1.9× 1.4k 1.0× 1.1k 18.6k
Pan Hui 9.4k 1.8× 1.4k 0.4× 2.2k 0.7× 2.9k 1.1× 1.5k 1.1× 388 13.8k
Xiangjie Kong 2.1k 0.4× 2.1k 0.6× 1.6k 0.5× 1.4k 0.5× 879 0.6× 298 7.7k
Geyong Min 9.1k 1.7× 4.0k 1.1× 3.9k 1.3× 4.6k 1.8× 1.6k 1.2× 657 15.0k
Shui Yu 9.0k 1.7× 7.7k 2.1× 4.5k 1.5× 3.8k 1.5× 1.3k 1.0× 791 19.6k
Naixue Xiong 9.1k 1.8× 6.2k 1.7× 4.6k 1.5× 4.3k 1.6× 3.9k 2.9× 915 21.6k
Lei Chen 5.3k 1.0× 6.6k 1.8× 2.8k 0.9× 2.2k 0.8× 3.0k 2.2× 845 17.6k
Wei Wang 1.4k 0.3× 3.2k 0.9× 2.1k 0.7× 1.5k 0.6× 2.2k 1.6× 735 11.6k

Countries citing papers authored by Feng Xia

Since Specialization
Citations

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

Fields of papers citing papers by Feng Xia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feng Xia

This figure shows the co-authorship network connecting the top 25 collaborators of Feng Xia. A scholar is included among the top collaborators of Feng Xia 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 Feng Xia. Feng Xia 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.
Wu, Mei, et al.. (2025). Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction. IEEE Transactions on Intelligent Transportation Systems. 26(9). 13603–13617. 5 indexed citations
2.
Liu, Shanshan, Jian Chen, Feng Xia, et al.. (2025). Uncovering the underlying mechanism of yuanhuacine against colorectal cancer by transcriptomics and experimental investigations. Phytomedicine. 140. 156570–156570. 1 indexed citations
3.
Yu, Shuo, et al.. (2025). Multi-type social patterns-based graph learning. Neurocomputing. 637. 130039–130039.
5.
6.
Zhang, Dongyu, et al.. (2025). Towards Multimodal Metaphor Understanding: A Chinese Dataset and Model for Metaphor Mapping Identification. ACM Transactions on Asian and Low-Resource Language Information Processing. 24(12). 1–25.
7.
Yu, Shuo, Shuo Wang, Tao Tang, et al.. (2025). CaGE: A Causality-inspired Graph Neural Network Explainer for Recommender Systems. ACM Transactions on Information Systems. 43(6). 1–29.
8.
Sun, Le, et al.. (2024). Path signature-based XAI-enabled network time series classification. Science China Information Sciences. 67(7). 20 indexed citations
9.
Firmin, Sally, et al.. (2024). Deepfake video detection: challenges and opportunities. Artificial Intelligence Review. 57(6). 39 indexed citations
11.
Huang, Zhixiong, et al.. (2024). Fusion-based graph neural networks for synergistic underwater image enhancement. Information Fusion. 117. 102857–102857. 5 indexed citations
12.
Li, Guofeng, Feng Xia, Liangmin Wang, Haiqin Wu, & Boris Düdder. (2024). Federated Unlearning in the Internet of Vehicles. Research at the University of Copenhagen (University of Copenhagen). 96–103.
13.
Wan, Liangtian, Lu Sun, Zixun Zhang, et al.. (2024). Flexible Graph Neural Diffusion with Latent Class Representation Learning. 2936–2947. 2 indexed citations
14.
Liu, Zitao, et al.. (2024). csKT: Addressing cold-start problem in knowledge tracing via kernel bias and cone attention. Expert Systems with Applications. 266. 125988–125988. 4 indexed citations
15.
Chen, Honglong, Junjian Li, Xingang Wang, et al.. (2024). Frequency is Devious: Deep Stealthy Backdoor in Artificial Intelligence-Based Consumer Internet of Things. IEEE Transactions on Consumer Electronics. 71(2). 6381–6391. 1 indexed citations
16.
Jin, Di, He Zhang, Yizhen Zheng, et al.. (2023). A survey on fairness-aware recommender systems. Information Fusion. 100. 101906–101906. 31 indexed citations
17.
Guo, Teng, Wenhong Zhao, Mubarak Alrashoud, et al.. (2022). Multimodal Educational Data Fusion for Students’ Mental Health Detection. IEEE Access. 10. 70370–70382. 24 indexed citations
18.
Libby, Peter, M. Elaine Husni, Qiuqing Wang, et al.. (2022). Cardiorenal risk of celecoxib compared with naproxen or ibuprofen in arthritis patients: insights from the PRECISION trial. European Heart Journal - Cardiovascular Pharmacotherapy. 8(6). 611–621. 22 indexed citations
19.
Bai, Xiaomei, Fuli Zhang, Jinzhou Li, et al.. (2021). Educational Big Data: Predictions, Applications and Challenges. Big Data Research. 26. 100270–100270. 49 indexed citations
20.
Wang, Lei, Jing Ren, Bo Xu, et al.. (2020). MODEL: Motif-Based Deep Feature Learning for Link Prediction. IEEE Transactions on Computational Social Systems. 7(2). 503–516. 40 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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