Anxiang Zeng

786 total citations
22 papers, 376 citations indexed

About

Anxiang Zeng is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Anxiang Zeng has authored 22 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Information Systems, 10 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Anxiang Zeng's work include Recommender Systems and Techniques (10 papers), Image Retrieval and Classification Techniques (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Anxiang Zeng is often cited by papers focused on Recommender Systems and Techniques (10 papers), Image Retrieval and Classification Techniques (4 papers) and Advanced Image and Video Retrieval Techniques (4 papers). Anxiang Zeng collaborates with scholars based in China, Singapore and United States. Anxiang Zeng's co-authors include Qing Da, Yang Yu, Yujing Hu, Yinghui Xu, Shiyong Chen, Jing-Cheng Shi, Luo Si, Shichen Liu, Lijun Zhang and Pengcheng Li and has published in prestigious journals such as International Journal of Computer Vision, IEEE Transactions on Knowledge and Data Engineering and Engineering Applications of Artificial Intelligence.

In The Last Decade

Anxiang Zeng

18 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Anxiang Zeng China	8	226	209	124	89	42	22	376
Qing Da China	7	213 0.9×	262 1.3×	156 1.3×	77 0.9×	57 1.4×	16	428
Benedikt Loepp Germany	8	332 1.5×	230 1.1×	83 0.7×	126 1.4×	14 0.3×	22	432
Yu Lei Hong Kong	11	310 1.4×	261 1.2×	86 0.7×	112 1.3×	37 0.9×	15	481
Zuohui Fu United States	16	414 1.8×	570 2.7×	65 0.5×	124 1.4×	48 1.1×	31	731
Xing Zhao China	11	228 1.0×	282 1.3×	80 0.6×	133 1.5×	30 0.7×	30	495
Sanjay Kumar Jain India	8	233 1.0×	231 1.1×	40 0.3×	55 0.6×	16 0.4×	30	434
Zeynep Batmaz Türkiye	5	273 1.2×	206 1.0×	38 0.3×	90 1.0×	17 0.4×	10	392
Jiangzhou Deng China	10	243 1.1×	122 0.6×	42 0.3×	110 1.2×	17 0.4×	18	326
Vibhor Kant India	12	271 1.2×	201 1.0×	73 0.6×	106 1.2×	59 1.4×	24	432
Aminu Da’u Malaysia	9	368 1.6×	361 1.7×	53 0.4×	108 1.2×	23 0.5×	15	584

Countries citing papers authored by Anxiang Zeng

Since Specialization

Citations

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

Fields of papers citing papers by Anxiang Zeng

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anxiang Zeng

This figure shows the co-authorship network connecting the top 25 collaborators of Anxiang Zeng. A scholar is included among the top collaborators of Anxiang Zeng 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 Anxiang Zeng. Anxiang Zeng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Zeng, Anxiang, et al.. (2025). Dynamic masking-based feature interaction modeling for e-commerce click-through rate prediction. Engineering Applications of Artificial Intelligence. 157. 111184–111184.

Fu, C. D., et al.. (2025). Stitching Inner Product and Euclidean Metrics for Topology-aware Maximum Inner Product Search. DR-NTU (Nanyang Technological University). 2341–2350.

Fu, C. D., et al.. (2025). Embed Progressive Implicit Preference in Unified Space for Deep Collaborative Filtering. 3921–3932.

Zeng, Anxiang, et al.. (2024). Learning Personalizable Clustered Embedding for Recommender Systems. 3(3). 1–38. 1 indexed citations

Liu, Chang, et al.. (2024). Transformer-Empowered Multi-Modal Item Embedding for Enhanced Image Search in E-commerce. Proceedings of the AAAI Conference on Artificial Intelligence. 38(21). 22770–22778.

Fu, C. D., et al.. (2024). Residual Multi-Task Learner for Applied Ranking. 4974–4985. 2 indexed citations

Zeng, Anxiang, et al.. (2023). Clustered Embedding Learning for Recommender Systems. 1074–1084. 7 indexed citations

Hu, Peng, et al.. (2021). A Primal-Dual Online Algorithm for Online Matching Problem in Dynamic Environments. Proceedings of the AAAI Conference on Artificial Intelligence. 35(12). 11160–11167. 1 indexed citations

Zeng, Anxiang, et al.. (2021). Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank. Proceedings of the AAAI Conference on Artificial Intelligence. 35(17). 15214–15222. 1 indexed citations

10.

Da, Qing, et al.. (2021). AliExpress Learning-To-Rank: Maximizing Online Model Performance without Going Online. IEEE Transactions on Knowledge and Data Engineering. 1–1. 13 indexed citations

11.

He, Ying, Fei Hou, Qian Sun, et al.. (2020). Poisson Vector Graphics (PVG)-Guided Face Color Transfer in Videos. IEEE Computer Graphics and Applications. 41(6). 152–163. 1 indexed citations

12.

Zeng, Anxiang, et al.. (2020). Accelerating Ranking in E-Commerce Search Engines through Contextual Factor Selection. Proceedings of the AAAI Conference on Artificial Intelligence. 34(8). 13212–13219. 2 indexed citations

13.

Li, Pengcheng, Runze Li, Qing Da, Anxiang Zeng, & Lijun Zhang. (2020). Improving Multi-Scenario Learning to Rank in E-commerce by Exploiting Task Relationships in the Label Space. 2605–2612. 50 indexed citations

14.

Chen, Yuting, et al.. (2020). Scenario-aware and Mutual-based approach for Multi-scenario Recommendation in E-Commerce. 127–135. 13 indexed citations

15.

He, Ying, et al.. (2019). Vectorization Based Color Transfer for Portrait Images. Computer-Aided Design. 115. 111–121. 8 indexed citations

16.

Shi, Jing-Cheng, et al.. (2019). Virtual-Taobao: Virtualizing Real-World Online Retail Environment for Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 4902–4909. 87 indexed citations

17.

Cai, Qingpeng, et al.. (2019). Policy Optimization with Model-Based Explorations. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 4675–4682. 4 indexed citations

18.

Feng, Zunlei, et al.. (2019). CU-Net: Component Unmixing Network for Textile Fiber Identification. International Journal of Computer Vision. 127(10). 1443–1454. 16 indexed citations

19.

Liu, Shichen, et al.. (2018). Perceive Your Users in Depth. 596–605. 73 indexed citations

20.

Zeng, Anxiang. (2014). Bayesian network structure learning algorithm based on MDL and K2. 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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