Zhijing Wu

660 total citations
51 papers, 376 citations indexed

About

Zhijing Wu is a scholar working on Artificial Intelligence, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Zhijing Wu has authored 51 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 14 papers in Information Systems and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Zhijing Wu's work include Topic Modeling (18 papers), Information Retrieval and Search Behavior (10 papers) and Recommender Systems and Techniques (7 papers). Zhijing Wu is often cited by papers focused on Topic Modeling (18 papers), Information Retrieval and Search Behavior (10 papers) and Recommender Systems and Techniques (7 papers). Zhijing Wu collaborates with scholars based in China, United States and United Kingdom. Zhijing Wu's co-authors include Yiqun Liu, Shaoping Ma, Qishun Shen, Li Zhan, Min Zhang, Jiaxin Mao, Xianping Wang, Min Zhang, Yi-you Nie and Jinmei Liu and has published in prestigious journals such as Nucleic Acids Research, Advanced Materials and Scientific Reports.

In The Last Decade

Zhijing Wu

44 papers receiving 360 citations

Peers

Zhijing Wu
Ryan Stevens United States
Lun Li China
Zhijing Wu
Citations per year, relative to Zhijing Wu Zhijing Wu (= 1×) peers Shuyi Zhang

Countries citing papers authored by Zhijing Wu

Since Specialization
Citations

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

Fields of papers citing papers by Zhijing Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhijing Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Zhijing Wu. A scholar is included among the top collaborators of Zhijing 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 Zhijing Wu. Zhijing Wu 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
2.
Liu, Jinpei, Pan Hui, Rui Luo, et al.. (2025). An electric vehicle sales hybrid forecasting method based on improved sentiment analysis model and secondary decomposition. Engineering Applications of Artificial Intelligence. 150. 110561–110561. 1 indexed citations
3.
Ai, Qingyao, Yixiao Ma, Haitao Li, et al.. (2025). Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions. ACM Transactions on Information Systems. 43(5). 1–27.
4.
Wu, Zhijing, et al.. (2025). EEG reveals the cognitive impact of polarized content in short video scenarios. Scientific Reports. 15(1). 18277–18277.
5.
Zeng, Kaiwen, et al.. (2025). Metal‐Backboned Polymers: A New Concept for Thermoelectric Materials. Chemistry - A European Journal. 31(20). e202404798–e202404798. 1 indexed citations
6.
Wu, Zhijing, et al.. (2025). TwoM: A model for joint time–frequency representation and spatial filtering for EEG-based depression recognition. Biomedical Signal Processing and Control. 113. 108977–108977.
7.
Wang, Hao, et al.. (2024). A collaborative learning framework for knowledge graph embedding and reasoning. Knowledge-Based Systems. 289. 111505–111505. 3 indexed citations
8.
Wu, Zhijing, et al.. (2024). Span-Pair Interaction and Tagging for Dialogue-Level Aspect-Based Sentiment Quadruple Analysis. 3995–4005. 2 indexed citations
9.
Liu, Yiding, Qingyao Ai, Zhijing Wu, et al.. (2024). Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback. 48–58. 2 indexed citations
11.
Song, Dandan, et al.. (2023). Entity alignment for temporal knowledge graphs via adaptive graph networks. Knowledge-Based Systems. 274. 110631–110631. 5 indexed citations
12.
Xie, Xiaohui, et al.. (2023). T2Ranking: A Large-scale Chinese Benchmark for Passage Ranking. 2681–2690. 7 indexed citations
14.
15.
Wei, Siping, Chengcheng Wang, Zhijing Wu, et al.. (2023). Closed-loop recycling of lignin-based sustainable polymers with an all-hydrocarbon backbone. Green Chemistry. 25(15). 5858–5864. 8 indexed citations
16.
Wu, Zhijing & Hua Xu. (2022). Trustworthy machine reading comprehension with conditional adversarial calibration. Applied Intelligence. 53(11). 14298–14315. 1 indexed citations
17.
Wu, Zhijing, et al.. (2022). A Novel Potential Drowning Detection System Based on Millimeter-Wave Radar. 659–664. 4 indexed citations
18.
Wu, Zhijing, Jiaxin Mao, Yiqun Liu, et al.. (2020). Leveraging Passage-level Cumulative Gain for Document Ranking. 2421–2431. 25 indexed citations
19.
Wu, Zhijing, Jiaxin Mao, Yiqun Liu, Min Zhang, & Shaoping Ma. (2019). Investigating Passage-level Relevance and Its Role in Document-level Relevance Judgment. 605–614. 17 indexed citations
20.
Wu, Zhijing, Li Zhan, Qishun Shen, et al.. (2011). Ultrafine optical-frequency tunable Brillouin fiber laser based on fiber strain. Optics Letters. 36(19). 3837–3837. 17 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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