Feng Xia

461 total citations
24 papers, 286 citations indexed

About

Feng Xia is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Feng Xia has authored 24 papers receiving a total of 286 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Information Systems, 10 papers in Artificial Intelligence and 8 papers in Management Science and Operations Research. Recurrent topics in Feng Xia's work include Recommender Systems and Techniques (15 papers), Advanced Bandit Algorithms Research (8 papers) and Advanced Graph Neural Networks (7 papers). Feng Xia is often cited by papers focused on Recommender Systems and Techniques (15 papers), Advanced Bandit Algorithms Research (8 papers) and Advanced Graph Neural Networks (7 papers). Feng Xia collaborates with scholars based in China, United States and Australia. Feng Xia's co-authors include Ruobing Xie, Leyu Lin, Rui Wang, Shaoliang Zhang, Rui Wang, Yalong Wang, Yudong Chen, Hong Chen, Wenwu Zhu and Xin Wang and has published in prestigious journals such as Tectonophysics, Information Sciences and IEEE Transactions on Knowledge and Data Engineering.

In The Last Decade

Feng Xia

23 papers receiving 275 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feng Xia China 9 208 146 101 72 23 24 286
Shijun Li China 7 201 1.0× 166 1.1× 87 0.9× 60 0.8× 23 1.0× 22 296
Aniruddh Nath United States 8 135 0.6× 175 1.2× 46 0.5× 70 1.0× 37 1.6× 11 273
Diane Hu United States 8 182 0.9× 164 1.1× 57 0.6× 63 0.9× 19 0.8× 16 286
Yeon-Chang Lee South Korea 12 254 1.2× 266 1.8× 52 0.5× 131 1.8× 44 1.9× 35 429
Konstantina Christakopoulou United States 8 354 1.7× 374 2.6× 113 1.1× 89 1.2× 31 1.3× 10 510
Babak Loni Netherlands 9 192 0.9× 198 1.4× 55 0.5× 107 1.5× 24 1.0× 23 337
Jiancan Wu China 11 196 0.9× 262 1.8× 43 0.4× 59 0.8× 22 1.0× 26 374
Haihong Tang China 11 220 1.1× 230 1.6× 61 0.6× 125 1.7× 21 0.9× 23 380
Hengliang Luo China 11 215 1.0× 148 1.0× 40 0.4× 44 0.6× 24 1.0× 22 300
Alexey Borisov Netherlands 7 128 0.6× 106 0.7× 30 0.3× 64 0.9× 22 1.0× 17 228

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.
2.
Xia, Feng, et al.. (2024). SalNAS: Efficient Saliency-prediction Neural Architecture Search with self-knowledge distillation. Engineering Applications of Artificial Intelligence. 136. 109030–109030. 3 indexed citations
3.
Zhang, Shao‐Liang, Ruobing Xie, Feng Xia, et al.. (2024). CIPPO: Contrastive Imitation Proximal Policy Optimization for Recommendation Based on Reinforcement Learning. IEEE Transactions on Knowledge and Data Engineering. 36(11). 5753–5767. 2 indexed citations
4.
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Zhang, Zhao, et al.. (2023). FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. ACM Transactions on Information Systems. 42(4). 1–25. 12 indexed citations
7.
Xie, Ruobing, et al.. (2023). Reweighting Clicks with Dwell Time in Recommendation. 341–345. 2 indexed citations
8.
Zhuang, Fuzhen, Ying Sun, Xiangliang Zhang, et al.. (2022). Adaptively sharing multi-levels of distributed representations in multi-task learning. Information Sciences. 591. 226–234. 3 indexed citations
9.
Xie, Ruobing, Shaoliang Zhang, Rui Wang, Feng Xia, & Leyu Lin. (2022). A Peep into the Future: Adversarial Future Encoding in Recommendation. 1177–1185. 4 indexed citations
10.
Ding, Weifeng, et al.. (2022). A new perspective on the continent–ocean boundary of Palawan continental block identified with geophysical data. Tectonophysics. 826. 229239–229239. 1 indexed citations
11.
Xie, Ruobing, et al.. (2022). Multi-granularity Fatigue in Recommendation. Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 4595–4599. 6 indexed citations
12.
Xia, Feng & Chengzhi Feng. (2022). The effect of cognitive flexibility on probabilistic category learning. Acta Psychologica Sinica. 54(11). 1340–1340. 5 indexed citations
13.
Chen, Hong, Yudong Chen, Xin Wang, et al.. (2021). Curriculum Disentangled Recommendation with Noisy Multi-feedback. Neural Information Processing Systems. 34. 26 indexed citations
14.
Xie, Ruobing, Shaoliang Zhang, Rui Wang, Feng Xia, & Leyu Lin. (2021). Explore, Filter and Distill. 4243–4252. 6 indexed citations
15.
Xie, Ruobing, Shaoliang Zhang, Rui Wang, Feng Xia, & Leyu Lin. (2021). Hierarchical Reinforcement Learning for Integrated Recommendation. Proceedings of the AAAI Conference on Artificial Intelligence. 35(5). 4521–4528. 59 indexed citations
16.
Xie, Ruobing, et al.. (2021). Personalized Approximate Pareto-Efficient Recommendation. 3839–3849. 20 indexed citations
17.
Liu, Yang, et al.. (2020). Exploring Clustering of Bandits for Online Recommendation System. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 120–129. 13 indexed citations
18.
Zhang, Shaoliang, Rui Wang, Ruobing Xie, et al.. (2020). Curriculum Learning for Wide Multimedia-Based Transformer with Graph Target Detection. 4575–4579. 8 indexed citations
19.
Chen, Jingwu, et al.. (2019). Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. IEEE Transactions on Knowledge and Data Engineering. 33(7). 2903–2913.
20.
Xia, Feng, et al.. (2014). 高分辨率遥感影像目标形状特征多尺度描述与识别. National Remote Sensing Bulletin. 18(1). 90–104. 4 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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