Fandong Meng

3.9k total citations
126 papers, 1.5k citations indexed

About

Fandong Meng is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Analytical Chemistry. According to data from OpenAlex, Fandong Meng has authored 126 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 95 papers in Artificial Intelligence, 32 papers in Computer Vision and Pattern Recognition and 13 papers in Analytical Chemistry. Recurrent topics in Fandong Meng's work include Topic Modeling (72 papers), Natural Language Processing Techniques (68 papers) and Multimodal Machine Learning Applications (28 papers). Fandong Meng is often cited by papers focused on Topic Modeling (72 papers), Natural Language Processing Techniques (68 papers) and Multimodal Machine Learning Applications (28 papers). Fandong Meng collaborates with scholars based in China, United States and Ireland. Fandong Meng's co-authors include Jinan Xu, Jinchao Zhang, Yufeng Chen, Jie Zhou, Zhaopeng Tu, Yunlong Liang, Jie Zhou, Jie Zhou, Jie Zhou and Jiaan Wang and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Pattern Analysis and Machine Intelligence and Expert Systems with Applications.

In The Last Decade

Fandong Meng

110 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fandong Meng China 21 1.1k 373 124 91 79 126 1.5k
Kunhong Liu China 21 474 0.4× 397 1.1× 43 0.3× 58 0.6× 33 0.4× 101 1.5k
Ahmed El-Sawy Egypt 16 219 0.2× 150 0.4× 43 0.3× 55 0.6× 21 0.3× 75 1.0k
Jun Kong China 17 170 0.2× 525 1.4× 39 0.3× 27 0.3× 28 0.4× 71 811
Ruifan Li China 18 664 0.6× 715 1.9× 123 1.0× 65 0.7× 5 0.1× 61 1.4k
Yanxiang He China 20 415 0.4× 99 0.3× 23 0.2× 192 2.1× 13 0.2× 174 1.6k
R. Kumar India 18 164 0.1× 117 0.3× 539 4.3× 93 1.0× 31 0.4× 75 1.2k
Siqi Shen China 19 239 0.2× 186 0.5× 78 0.6× 227 2.5× 10 0.1× 98 1.4k
Ming Fang China 18 103 0.1× 378 1.0× 178 1.4× 37 0.4× 35 0.4× 115 1.0k
Nan Luo China 23 92 0.1× 581 1.6× 131 1.1× 200 2.2× 9 0.1× 103 1.6k
Yuchen Zhao China 15 256 0.2× 117 0.3× 64 0.5× 77 0.8× 54 0.7× 67 741

Countries citing papers authored by Fandong Meng

Since Specialization
Citations

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

Fields of papers citing papers by Fandong Meng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fandong Meng

This figure shows the co-authorship network connecting the top 25 collaborators of Fandong Meng. A scholar is included among the top collaborators of Fandong Meng 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 Fandong Meng. Fandong Meng 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
1.
Meng, Fandong, et al.. (2025). LLaVE: Large Language and Vision Embedding Models with Hardness-Weighted Contrastive Learning. 13721–13735. 1 indexed citations
2.
Meng, Fandong, et al.. (2025). AVG-LLaVA: An Efficient Large Multimodal Model with Adaptive Visual Granularity. 16852–16869. 1 indexed citations
3.
4.
Pang, Liang, Mo Yu, Fandong Meng, et al.. (2024). Unsupervised Information Refinement Training of Large Language Models for Retrieval-Augmented Generation. 133–145. 3 indexed citations
5.
6.
Liu, Yijin, et al.. (2024). LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation. 9201–9214. 1 indexed citations
7.
Meng, Fandong, et al.. (2024). On Large Language Models’ Hallucination with Regard to Known Facts. 1041–1053.
8.
Meng, Fandong, et al.. (2024). How Effectively Do Code Language Models Understand Poor-Readability Code?. 795–806. 2 indexed citations
9.
Wang, Lean, Damai Dai, Deli Chen, et al.. (2023). Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning. 9840–9855. 10 indexed citations
10.
Liang, Yunlong, Fandong Meng, Jinan Xu, et al.. (2023). Summary-Oriented Vision Modeling for Multimodal Abstractive Summarization. 2934–2951. 10 indexed citations
11.
Wang, Jiaan, Yunlong Liang, Fandong Meng, et al.. (2023). Is ChatGPT a Good NLG Evaluator? A Preliminary Study. 1–11. 119 indexed citations
12.
Yang, Zhen, Fandong Meng, Yuanmeng Yan, & Jie Zhou. (2023). Rethinking the Word-level Quality Estimation for Machine Translation from Human Judgement. 2012–2025. 1 indexed citations
13.
Zhang, Ying, Fandong Meng, Yufeng Chen, Jinan Xu, & Jie Zhou. (2023). Complex Question Enhanced Transfer Learning for Zero-Shot Joint Information Extraction. IEEE/ACM Transactions on Audio Speech and Language Processing. 32. 261–275.
14.
Wang, Jiaan, Fandong Meng, Duo Zheng, et al.. (2022). ClidSum: A Benchmark Dataset for Cross-Lingual Dialogue Summarization. 7716–7729. 19 indexed citations
15.
Liu, Yuanxin, Fandong Meng, Zheng Lin, et al.. (2022). Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning. 6650–6662. 16 indexed citations
16.
Meng, Fandong, Zheng Lin, Yuanxin Liu, et al.. (2022). Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA. 3698–3712. 8 indexed citations
17.
Zhou, Chulun, Yunlong Liang, Fandong Meng, et al.. (2022). A Multi-Task Multi-Stage Transitional Training Framework for Neural Chat Translation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(7). 1–16. 3 indexed citations
18.
Meng, Fandong, Jun Xie, Linfeng Song, Yajuan Lü, & Qun Liu. (2013). Translation with Source Constituency and Dependency Trees. 1066–1076. 8 indexed citations
19.
Song, Linfeng, et al.. (2011). ETS: An Error Tolerable System for Coreference Resolution. 76–80. 1 indexed citations
20.
Song, Linfeng, et al.. (2011). The ICT 's Patent MT System Description for NTCIR-9. NTCIR. 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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