Meng Fang

3.1k total citations
104 papers, 1.6k citations indexed

About

Meng Fang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Meng Fang has authored 104 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 40 papers in Computer Vision and Pattern Recognition and 9 papers in Information Systems. Recurrent topics in Meng Fang's work include Topic Modeling (27 papers), Natural Language Processing Techniques (20 papers) and Machine Learning and Algorithms (13 papers). Meng Fang is often cited by papers focused on Topic Modeling (27 papers), Natural Language Processing Techniques (20 papers) and Machine Learning and Algorithms (13 papers). Meng Fang collaborates with scholars based in China, Australia and United Kingdom. Meng Fang's co-authors include Trevor Cohn, Dacheng Tao, Yuan Li, Yali Du, Joey Tianyi Zhou, Xingquan Zhu, Dacheng Tao, Jie Yin, Chengqi Zhang and Rick Siow Mong Goh and has published in prestigious journals such as IEEE Transactions on Cybernetics, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Meng Fang

93 papers receiving 1.6k citations

Peers

Meng Fang

AI

CVPR

IS

CNC

CSA

Chastine Fatichah Indonesia

Jufeng Yang China

Zhi Tang China

David Meger Canada

Qing Cai China

Álvaro Soto Chile

Maki K. Habib Egypt

William M. Spears United States

Bhaskara Marthi United States

Chastine Fatichah Indonesia

Meng Fang

709 ×0.8

AI

512 ×0.9

CVPR

386 ×3.1

IS

35 ×0.5

CNC

33 ×0.4

CSA

Citations per year, relative to Meng Fang Meng Fang (= 1×) peers Chastine Fatichah

Countries citing papers authored by Meng Fang

Since Specialization

Citations

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

Fields of papers citing papers by Meng Fang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Meng Fang

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

Pei, Yulong, et al.. (2025). FS-GNN: Improving Fairness in Graph Neural Networks via Joint Sparsification. Neurocomputing. 648. 130641–130641.

2.

Xiao, Xiao, et al.. (2025). Adaptive iterative retrieval for enhanced retrieval-augmented generation. Neurocomputing. 666. 132272–132272.

3.

Cui, Jiahuan, Liuyu Xiang, Han Zhao, et al.. (2025). Can large language models independently complete tasks? A dynamic evaluation framework for multi-turn task planning and completion. Neurocomputing. 638. 130135–130135. 3 indexed citations

4.

Zhao, Jiaxu, et al.. (2024). More than Minorities and Majorities: Understanding Multilateral Bias in Language Generation. 9987–10001.

5.

Zhang, Zihan, Meng Fang, & Ling Chen. (2024). RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering. 6963–6975. 6 indexed citations

6.

Owen, Harry, Meng Fang, & Kristin M. Winchell. (2024). Urbanization and environmental variation drive phenological changes in the spotted lanternfly, Lycorma delicatula (Hemiptera: Fulgoridae). Biological Journal of the Linnean Society. 143(4). 3 indexed citations

7.

Zhang, Qin, et al.. (2024). CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models. 14883–14898. 1 indexed citations

8.

Fang, Meng, et al.. (2023). Shared dynamics learning for large-scale traveling salesman problem. Advanced Engineering Informatics. 56. 102005–102005. 3 indexed citations

9.

Zhang, Qin, Shangsi Chen, Dongkuan Xu, et al.. (2023). A Survey for Efficient Open Domain Question Answering. 14447–14465. 14 indexed citations

10.

Cao, Yu, Wei Bi, Meng Fang, Shuming Shi, & Dacheng Tao. (2022). A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 7984–8002. 26 indexed citations

11.

Fang, Meng, et al.. (2021). Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems. IEEE Transactions on Cybernetics. 52(10). 11107–11120. 81 indexed citations

12.

Cao, Yu, Wei Bi, Meng Fang, & Dacheng Tao. (2020). Pretrained Language Models for Dialogue Generation with Multiple Input Sources. 909–917. 14 indexed citations

13.

Fang, Meng, Dong Li, Chong Zhang, et al.. (2020). Smad3 gene C‐terminal phosphorylation site mutation aggravates CCl₄‐induced inflammation in mice. Journal of Cellular and Molecular Medicine. 24(12). 7044–7054. 6 indexed citations

14.

Fang, Meng, et al.. (2020). Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. UTS ePRESS (University of Technology Sydney). 33. 16495–16507. 5 indexed citations

15.

Zhou, Joey Tianyi, Hao Zhang, Di Jin, et al.. (2019). Dual Adversarial Neural Transfer for Low-Resource Named Entity Recognition. 3461–3471. 68 indexed citations

16.

Du, Yali, Lei Han, Meng Fang, et al.. (2019). LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning. Neural Information Processing Systems. 32. 4403–4414. 45 indexed citations

17.

Fang, Meng, Tianyi Zhou, Yali Du, Lei Han, & Zhengyou Zhang. (2019). Curriculum-guided Hindsight Experience Replay. Neural Information Processing Systems. 32. 12602–12613. 50 indexed citations

18.

Fang, Meng, Cheng Zhou, Bei Shi, et al.. (2018). DHER: Hindsight Experience Replay for Dynamic Goals. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 33 indexed citations

19.

Fang, Meng. (2012). Algorithm for Image Quality Assessment Based on Color Features. Video Engineering. 1 indexed citations

20.

Fang, Meng. (2008). The Problems Appeared in Inspection,Repair andOperation of 104 Valves and Method for Solution.

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.

Explore authors with similar magnitude of impact