Wenjun Wu

2.0k total citations
129 papers, 1.3k citations indexed

About

Wenjun Wu is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Wenjun Wu has authored 129 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 26 papers in Computer Networks and Communications and 22 papers in Information Systems. Recurrent topics in Wenjun Wu's work include Online Learning and Analytics (14 papers), Intelligent Tutoring Systems and Adaptive Learning (11 papers) and Software System Performance and Reliability (9 papers). Wenjun Wu is often cited by papers focused on Online Learning and Analytics (14 papers), Intelligent Tutoring Systems and Adaptive Learning (11 papers) and Software System Performance and Reliability (9 papers). Wenjun Wu collaborates with scholars based in China, United States and Australia. Wenjun Wu's co-authors include Wei‐Tek Tsai, Liang Luo, Hongqiang Jiang, Wei Li, Tiejun Huang, Ke Гонг, Wang Jinnan, Radu-Daniel Vatavu, Dongyan Wang and Wenbo Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Wenjun Wu

117 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wenjun Wu China	22	259	206	206	206	128	129	1.3k
Yanyan Yang United Kingdom	15	186 0.7×	95 0.5×	229 1.1×	228 1.1×	53 0.4×	83	1.0k
Maneesha Vinodini Ramesh India	29	166 0.6×	678 3.3×	265 1.3×	298 1.4×	24 0.2×	245	2.9k
Muhammad Aslam Pakistan	22	91 0.4×	327 1.6×	269 1.3×	303 1.5×	20 0.2×	95	1.4k
Stefanos Vrochidis Greece	23	233 0.9×	125 0.6×	404 2.0×	180 0.9×	28 0.2×	238	1.9k
Chao Liu China	17	91 0.4×	142 0.7×	162 0.8×	121 0.6×	13 0.1×	119	1.4k
Michael Goodchild United States	10	140 0.5×	131 0.6×	112 0.5×	206 1.0×	37 0.3×	13	1.2k
Jay Taneja United States	22	76 0.3×	667 3.2×	94 0.5×	425 2.1×	30 0.2×	84	2.5k
Patrick Weber Germany	7	112 0.4×	298 1.4×	207 1.0×	259 1.3×	107 0.8×	24	2.2k
Wei Feng China	24	252 1.0×	118 0.6×	565 2.7×	362 1.8×	16 0.1×	103	2.1k

Countries citing papers authored by Wenjun Wu

Since Specialization

Citations

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

Fields of papers citing papers by Wenjun Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wenjun Wu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Ren, Jian, et al.. (2025). GOAT: a novel global-local optimized graph transformer framework for predicting student performance in collaborative learning. Scientific Reports. 15(1). 9861–9861. 1 indexed citations

Feng, Pu, et al.. (2025). Neural Algorithmic Reasoners informed Large Language Model for Multi-Agent Path Finding. 1–8.

Wu, Wenjun, et al.. (2024). Do E-governance, mineral resources, and policy stringency facilitate economic growth in selected resource-rich countries. Resources Policy. 93. 105048–105048. 1 indexed citations

Wang, Peifang, Wenjun Wu, Conrad Zorn, et al.. (2024). A dynamic modeling approach to quantify pollution contributions from priority management areas within watersheds at fine temporal resolution. Journal of Environmental Management. 371. 123061–123061.

Ding, Rong, et al.. (2024). HHPSO: A Heuristic Hybrid Particle Swarm Optimization Path Planner for Quadcopters. Drones. 8(6). 221–221. 2 indexed citations

Shi, Rongye, et al.. (2024). TALKER: A Task-Activated Language Model Based Knowledge-Extension Reasoning System. IEEE Robotics and Automation Letters. 10(2). 1026–1033. 1 indexed citations

Shi, Rongye, et al.. (2024). ELAKT: Enhancing Locality for Attentive Knowledge Tracing. ACM Transactions on Information Systems. 42(4). 1–27. 6 indexed citations

Guo, Jun, Jiakai Wang, Yuqing Ma, et al.. (2023). A comprehensive evaluation framework for deep model robustness. Pattern Recognition. 137. 109308–109308. 28 indexed citations

Zhou, Yuanchun, Shu Ma, Wenhui Zhu, et al.. (2023). Revealing varying relationships between wastewater mercury emissions and economic growth in Chinese cities. Environmental Pollution. 341. 122944–122944. 2 indexed citations

10.

Wu, Wenjun & Bo Tang. (2023). Waveform design for higher-resolution localization with MIMO radar. Signal Processing. 209. 108999–108999. 9 indexed citations

11.

Tang, Bo, et al.. (2023). Mutual information‐based constant‐modulus waveform design for multiple‐input‐multiple‐output radar in spectrally crowded environment. IET Radar Sonar & Navigation. 17(4). 719–731. 2 indexed citations

12.

Wu, Wenjun, et al.. (2023). CLGT: A Graph Transformer for Student Performance Prediction in Collaborative Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 37(13). 15947–15954. 14 indexed citations

13.

Zhang, Wei, et al.. (2023). Agricultural Methane Emissions in China: Inventories, Driving Forces and Mitigation Strategies. Environmental Science & Technology. 57(36). 13292–13303. 46 indexed citations

14.

Wu, Wenjun. (2023). SOCIAL-EMOTIONAL LEARNING IN ARTS EDUCATION. 1(1). 1 indexed citations

15.

Cao, Yingnan, Zixuan Wang, Pengyu Li, et al.. (2023). Prediction of rural domestic water and sewage production based on automated machine learning in northern China. Journal of Cleaner Production. 434. 140016–140016. 14 indexed citations

16.

Wu, Wenjun, et al.. (2022). Waveform Design for Dual-function Radar-communication Systems in Clutter. SHILAP Revista de lepidopterología. 3 indexed citations

17.

Zhang, Wei, Miaomiao Liu, Klaus Hubacek, et al.. (2019). Virtual flows of aquatic heavy metal emissions and associated risk in China. Journal of Environmental Management. 249. 109400–109400. 18 indexed citations

18.

Wu, Wenjun, et al.. (2019). ATC Framework: A fully Automatic Cognitive Tracing Model for Student and Educational Contents.. Educational Data Mining. 3 indexed citations

19.

Zhao, Xin, et al.. (2017). The changing patterns of cropland conversion to built-up land in China from 1987 to 2010. AGU Fall Meeting Abstracts. 2017. 1 indexed citations

20.

Zhang, Wei, Yu Liu, Ling Jiang, et al.. (2016). Evaluating the economic loss induced by water pollution based on multi-regional CGE model: a case study of Yangtze River Delta Basin.. China Environmental Science. 36(9). 2849–2856. 3 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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