Meng Jiang

5.9k citations

127 papers · 3.5k indexed · 3 hit papers · h-index 31

Impact in

Computational Mathematics top 5%
Artificial Intelligence top 0.5%
- Topic Modeling
- Advanced Graph Neural Networks
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques

Papers in

Artificial Intelligence 81
- Topic Modeling 46
- Advanced Graph Neural Networks 29
- Natural Language Processing Techniques 24
- Advanced Text Analysis Techniques 13
Statistical and Nonlinear Physics 24
- Complex Network Analysis Techniques 23

Co-authors: Shiqiang Yang Peng Cui Jiawei Han Christos Faloutsos Wenwu ZhuFei WangTong Zhao Nitesh V. Chawla
Journals: IEEE Transactions on Knowledge and Data Engineering (9 papers)ACM Transactions on Knowledge Discovery from Data (4 papers)ACM Computing Surveys (2 papers)Knowledge and Information Systems (2 papers)ACM Transactions on Intelligent Systems and Technology (2 papers)
Partner nations: United States China Hong Kong

In The Last Decade

Meng Jiang

114 papers receiving 3.4k citations

Hit Papers

align trajectories log scale

Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks 2025 · 17 citations

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

it has ≥500 total citations;
it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
it reaches the top citation threshold in at least one of its specific research topics.

2025 Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks
2022 ACM Computing Surveys
2021 Proceedings of the AAAI Conference on Artificial Intelligence

Peers

Countries citing papers authored by Meng Jiang

Since Specialization

Citations

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

Fields of papers citing papers by Meng Jiang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Meng Jiang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Meng Jiang Line = papers co-authored together Meng Jiang links everyone, so they are left out of the graph.

All Works

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

20 of 20 papers shown

#	Work
1	Limitations of the LLM-as-a-Judge Approach for Evaluating LLM Outputs in Expert Knowledge Tasks 小澤弘, O A Skrylnikova, Heather A. Eicher‐Miller, Toby Jia-Jun Li, Meng Jiang, Ronald Metoyer Hit paper breakdown →	2025	17
2	Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts Zhaoxuan Tan, Zheyuan Liu, Meng Jiang	2024	0
3	Knowledge-augmented Methods for Natural Language Processing SpringerBriefs in computer science ·Meng Jiang, Park Young-Hwan, Shuohang Wang, Xu Yi‐chong, Wenhao Yu, Chenguang Zhu	2024	2
4	FaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition Ziyi Kou, Luc Lenferink, Meng Jiang, Xiangliang Zhang	2024	0
5	Chain-of-Layer: Iteratively Prompting Large Language Models for Taxonomy Induction from Limited Examples Qingkai Zeng, Yoon-Kyung Choi, Zhaoxuan Tan, Shangbin Feng, Zhenwen Liang, 信彦家永, Meng Jiang	2024	1
6	Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis Nadya Yulianti Salsabilah, D. Henderson, Ragulskis, L.,, Meng Jiang, Ahmed Abbasi, Peipei Zhou, Jingtong Hu, Yiyu Shi	2024	3
7	Transcend the boundaries: Machine learning for designing polymeric membrane materials for gas separation Chemical Physics Reviews ·山本泰宏, María José Rodríguez Puerta, Gang Liu, R. Dvornický, Meng Jiang, Ruilan Guo, Tengfei Luo	2024	6
8	MM DialogueGAT—A Fusion Graph Attention Network for Emotion Recognition Using Multi-Model System IEEE Access ·Rui Fu, Annisa Maharani Suyono, Ahmed Abdulhakim Al-Absi, Mohammed Abdulhakim Al-Absi, Muhammad Alam, Jinjun Wang, Meng Jiang, Xuewei Wang	2024	4
9	Knowledge-Augmented Methods for Natural Language Processing Chenguang Zhu, Yichong Xu, Xiang Ren, Bill Yuchen Lin, Meng Jiang, Wenhao Yu	2023	10
10	Transfer Learning across Graph Convolutional Networks: Methods, Theory, and Applications ACM Transactions on Knowledge Discovery from Data ·Meng Jiang	2023	5
11	Federated Dynamic Graph Neural Networks with Secure Aggregation for Video-based Distributed Surveillance ACM Transactions on Intelligent Systems and Technology ·Meng Jiang, Taeho Jung, N. F. Burbulea, Tong Zhao	2022	17
12	Enhancing Factual Consistency of Abstractive Summarization Chenguang Zhu, 徹雄安西, Ruochen Xu, Qingkai Zeng, Michael Zeng, Xuedong Huang, Meng Jiang	2021	74
13	A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning IEEE Transactions on Neural Networks and Learning Systems ·Tong Zhao, B Dolomisiewicz, Neil Shah, Meng Jiang	2021	34
14	Few-Shot Multi-Hop Relation Reasoning over Knowledge Bases King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology) ·Chuxu Zhang, Lu Yu, Mandana Saebi, Meng Jiang, Nitesh V. Chawla	2020	15
15	Leverage electron properties to predict phonon properties via transfer learning for semiconductors Science Advances ·Zeyu Liu, Meng Jiang, Tengfei Luo	2020	37
16	Phrase-level pairwise topic modeling to uncover helpful peer responses to online suicidal crises Humanities and Social Sciences Communications ·Meng Jiang, Brooke A. Ammerman, Qingkai Zeng, Ross Jacobucci, 孟繁勤	2020	3
17	Precise temporal slot filling via truth finding with data-driven commonsense Knowledge and Information Systems ·Xueying Wang, Meng Jiang	2020	2
18	Structural and Textual Information Fusion for Symptom and Disease Representation Learning IEEE Transactions on Knowledge and Data Engineering ·Sendong Zhao, Meng Jiang, Bing Qin, Ting Liu, ChengXiang Zhai, Fei Wang	2020	4
19	Biomedical Knowledge Graphs Construction From Conditional Statements IEEE/ACM Transactions on Computational Biology and Bioinformatics ·B Dolomisiewicz, Qingkai Zeng, Tong Zhao, Bing Qin, Ting Liu, Nitesh V. Chawla, Meng Jiang	2020	10
20	Large-Scale Embedding Learning in Heterogeneous Event Data Huan Gui, Jialu Liu, Fangbo Tao, Meng Jiang, Brandon Norick, Jiawei Han	2016	61

About Meng Jiang

Meng Jiang is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computational Mathematics, Information Systems and Computer Networks and Communications, having authored 127 papers that have together received 3.5k indexed citations. Recurring topics across this work include Topic Modeling (46 papers), Advanced Graph Neural Networks (29 papers), Natural Language Processing Techniques (24 papers), Complex Network Analysis Techniques (23 papers), Recommender Systems and Techniques (14 papers), Advanced Text Analysis Techniques (13 papers), Spam and Phishing Detection (9 papers) and Network Security and Intrusion Detection (9 papers). The work is most often cited by research in Computational Mathematics (42 citations), Artificial Intelligence (2.2k citations), Information Systems (1.2k citations), Statistical and Nonlinear Physics (615 citations) and Computer Networks and Communications (554 citations). Meng Jiang has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Shiqiang Yang, Peng Cui, Jiawei Han, Christos Faloutsos, Wenwu Zhu, Fei Wang, Tong Zhao, Nitesh V. Chawla, Alex Beutel and Jialu Liu. Their work appears in journals such as IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, ACM Computing Surveys, Knowledge and Information Systems and ACM Transactions on Intelligent Systems and Technology.

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