Wanjun Zhong

1.4k total citations · 2 hit papers
36 papers, 543 citations indexed

About

Wanjun Zhong is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Wanjun Zhong has authored 36 papers receiving a total of 543 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Information Systems. Recurrent topics in Wanjun Zhong's work include Topic Modeling (24 papers), Natural Language Processing Techniques (15 papers) and Multimodal Machine Learning Applications (6 papers). Wanjun Zhong is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (15 papers) and Multimodal Machine Learning Applications (6 papers). Wanjun Zhong collaborates with scholars based in China, United Kingdom and Hong Kong. Wanjun Zhong's co-authors include Nan Duan, Ming Zhou, Duyu Tang, Jiahai Wang, Jian Yin, Tianchi Yang, Chuan Shi, Linmei Hu, Yanlin Wang and Jingjing Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Computer Vision and Pattern Recognition Letters.

In The Last Decade

Wanjun Zhong

32 papers receiving 530 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

AGIEval: A Human-Centric Benchmark for Evaluating Foundation Models

2024 63 citations Wanjun Zhong, Nan Duan et al. profile →
MemoryBank: Enhancing Large Language Models with Long-Term Memory

2024 53 citations Wanjun Zhong, Qiqi Gao et al. Proceedings of the AAAI Conference on Artificial Intelligence profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wanjun Zhong China	11	411	156	155	65	24	36	543
Todor Mihaylov Germany	11	518 1.3×	104 0.7×	156 1.0×	142 2.2×	11 0.5×	17	621
Jonathan Herzig Israel	13	601 1.5×	32 0.2×	67 0.4×	151 2.3×	24 1.0×	25	726
Chongyang Shi China	13	288 0.7×	72 0.5×	237 1.5×	55 0.8×	39 1.6×	48	468
Tianchi Yang China	7	453 1.1×	128 0.8×	194 1.3×	57 0.9×	78 3.3×	8	559
Dustin Arendt United States	13	219 0.5×	63 0.4×	68 0.4×	112 1.7×	76 3.2×	35	410
Lizhen Qu Australia	12	386 0.9×	36 0.2×	183 1.2×	76 1.2×	10 0.4×	50	546
Wafaa S. El-Kassas Egypt	5	466 1.1×	27 0.2×	172 1.1×	38 0.6×	7 0.3×	8	601
Shuohuan Wang China	7	527 1.3×	26 0.2×	75 0.5×	131 2.0×	8 0.3×	15	605
Jianxing Yu China	11	390 0.9×	92 0.6×	139 0.9×	83 1.3×	13 0.5×	29	518

Countries citing papers authored by Wanjun Zhong

Since Specialization

Citations

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

Fields of papers citing papers by Wanjun Zhong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wanjun Zhong

This figure shows the co-authorship network connecting the top 25 collaborators of Wanjun Zhong. A scholar is included among the top collaborators of Wanjun Zhong 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 Wanjun Zhong. Wanjun Zhong 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

1.

Wang, Chong, Yanlin Wang, Ensheng Shi, et al.. (2025). LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation. Proceedings of the ACM on software engineering.. 2(ISSTA). 481–503. 13 indexed citations

2.

Zhou, Jianpeng, Wanjun Zhong, Yanlin Wang, & Jiahai Wang. (2025). Adaptive-solver framework for dynamic strategy selection in large language model reasoning. Information Processing & Management. 62(3). 104052–104052. 1 indexed citations

3.

Hou, Yutai, Yitong Li, Wanjun Zhong, et al.. (2024). Concise and Precise Context Compression for Tool-Using Language Models. 16430–16441. 1 indexed citations

4.

Du, Yiming, Hongru Wang, Zhengyi Zhao, et al.. (2024). PerLTQA: A Personal Long-Term Memory Dataset for Memory Classification, Retrieval, and Fusion in Question Answering. 152–164. 1 indexed citations

5.

Jiang, Yuxin, Yufei Wang, Xingshan Zeng, et al.. (2024). FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4667–4688. 2 indexed citations

6.

Jiang, Yuxin, Chuhan Wu, Wanjun Zhong, et al.. (2024). Learning to Edit: Aligning LLMs with Knowledge Editing. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4689–4705. 4 indexed citations

7.

Zhong, Wanjun, Jiahui Gao, Weiwen Liu, et al.. (2024). Planning, Creation, Usage: Benchmarking LLMs for Comprehensive Tool Utilization in Real-World Complex Scenarios. 4363–4400. 4 indexed citations

8.

Li, Jingjing, et al.. (2024). CLongEval: A Chinese Benchmark for Evaluating Long-Context Large Language Models. 3985–4004. 2 indexed citations

9.

Zan, Peng, et al.. (2024). An Active Transfer Learning framework for image classification based on Maximum Differentiation Classifier. Image and Vision Computing. 154. 105401–105401.

10.

Wang, Yanlin, Ensheng Shi, Wanjun Zhong, et al.. (2024). When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention. 1073–1085. 9 indexed citations

11.

Han, Tianyu, et al.. (2024). Hierarchical Active Learning for Low-Altitude Drone-View Object Detection. International Journal of Computer Vision. 133(3). 1140–1152. 2 indexed citations

12.

Zhong, Wanjun, et al.. (2024). MemoryBank: Enhancing Large Language Models with Long-Term Memory. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19724–19731. 53 indexed citations breakdown →

13.

Deng, Zhenyun, Wanjun Zhong, G. Gendron, et al.. (2024). Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning. 5914–5934.

14.

Zhong, Wanjun, Ning Ding, Zhiyuan Liu, et al.. (2023). Improving task generalization via unified schema prompt. SHILAP Revista de lepidopterología. 4. 120–129. 3 indexed citations

15.

Zhong, Wanjun, Jiahai Wang, Jian Yin, et al.. (2023). Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers. 7587–7600. 3 indexed citations

16.

Wang, Siyuan, Wanjun Zhong, Duyu Tang, et al.. (2022). Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text. Findings of the Association for Computational Linguistics: ACL 2022. 1619–1629. 16 indexed citations

17.

Hu, Linmei, Tianchi Yang, Wanjun Zhong, et al.. (2021). Compare to The Knowledge: Graph Neural Fake News Detection with External Knowledge. 754–763. 120 indexed citations

18.

Guo, Daya, Duyu Tang, Qinliang Su, et al.. (2021). Syntax-Enhanced Pre-trained Model. 5412–5422. 20 indexed citations

19.

Zhong, Wanjun, Duyu Tang, Ruize Wang, et al.. (2020). Neural Deepfake Detection with Factual Structure of Text. 2461–2470. 25 indexed citations

20.

Zhong, Wanjun, Jingjing Xu, Duyu Tang, et al.. (2020). Reasoning Over Semantic-Level Graph for Fact Checking. 6170–6180. 100 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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