Jing Ma

4.9k citations

90 papers · 3.1k indexed · 4 hit papers · h-index 22

Statistical and Nonlinear Physics top 0.5%
- Complex Network Analysis Techniques 7
Information Systems top 0.5%
- Spam and Phishing Detection 9
Sociology and Political Science top 0.5%
- Misinformation and Its Impacts 23
Artificial Intelligence top 0.5%
- Topic Modeling 31
- Sentiment Analysis and Opinion Mining 7
- Natural Language Processing Techniques 6
- Advanced Text Analysis Techniques 6
- Hate Speech and Cyberbullying Detection 5
Signal Processing top 2%

Co-authors: Wei GaoKam‐Fai Wong Bernard J. Jansen Meeyoung Cha Sejeong Kwon Prasenjit Mitra Yueming Lu Zhongyu Wei
Cited by: Statistical and Nonlinear Physics Information Systems Sociology and Political Science
Journals: Advanced Materials (1 paper)Journal of Agricultural and Food Chemistry (2 papers)Pattern Recognition (1 paper)
Partner nations: China Hong Kong United States

In The Last Decade

Jing Ma

80 papers receiving 3.0k citations

Hit Papers

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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.

2018 Rumor Detection on Twitter with Tree-structured Recursive Neural Networks
2017 Figshare
2016 Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University)
2015 Detect Rumors Using Time Series of Social Context Information on Microblogging Websites

Peers

Countries citing papers authored by Jing Ma

Since Specialization

Citations

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

Fields of papers citing papers by Jing Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Jing Ma, 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 Jing Ma Line = papers co-authored together Jing Ma links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

#	Work
1	Causal Inference with Large Language Model: A Survey Jing Ma	2025	2
2	Scientific poster generation: A new dataset and approach Pattern Recognition ·Xinyi Zhong,Zusheng Tan,Jing Li,Shen Gao,Jing Ma,Shanshan Feng,Billy Chiu	2025	0
3	A Survey of Approaches to Early Rumor Detection on Microblogging Platforms: Computational and Socio‐Psychological Insights Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery ·Lazarus Kwao,Yang Yang,Jie Zou,Jing Ma	2025	0
4	LLM-enhanced Multiple Instance Learning for Joint Rumor and Stance Detection with Social Context Information ACM Transactions on Intelligent Systems and Technology ·Ruichao Yang,Jing Ma,Wei Gao,Hongzhan Lin	2025	0
5	Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models Ruichao Yang,Wei Gao,Jing Ma,Hongzhan Lin,Bo Wang	2024	0
6	A deep clustering-based state-space model for improved disease risk prediction in personalized healthcare Annals of Operations Research ·Shuai Niu,Jing Ma,Qing Yin,Liang Bai,Li Chen,Xian Yang	2024	3
7	Towards Explainable Harmful Meme Detection through Multimodal Debate between Large Language Models Hongzhan Lin,Ziyang Luo,Wei Gao,Jing Ma,Bo Wang,Ruichao Yang	2024	15
8	CoTea: Collaborative teaching for low-resource named entity recognition with a divide-and-conquer strategy Information Processing & Management ·Zhiwei Yang,Jing Ma,Kang Yang,Hui-Ru Lin,Hechang Chen,Ruichao Yang,Yi Chang	2024	2
9	Explainable Fake News Detection with Large Language Model via Defense Among Competing Wisdom Bo Wang,Jing Ma,Hongzhan Lin,Zhiwei Yang,Ruichao Yang,Yuan Tian,Yi Chang	2024	15
10	Detect Insider Threat with Associated Session Graph Electronics ·Junmei Ding,Peng Qian,Jing Ma,Zhiqiang Wang,Yueming Lu,Xiaqing Xie	2024	1
11	Conditioned Masked Language and Image Modeling for Image-Text Dense Retrieval Ziyang Luo,Yadong Xi,Rongsheng Zhang,GongZheng Li,Zeng Zhao,Jing Ma	2022	2
12	Context-Aware Attentive Multilevel Feature Fusion for Named Entity Recognition IEEE Transactions on Neural Networks and Learning Systems ·Zhiwei Yang,Jing Ma,Hechang Chen,Jiawei Zhang,Yi Chang	2022	37
13	Rumor Detection on Twitter with Claim-Guided Hierarchical Graph Attention Networks Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing ·Hongzhan Lin,Jing Ma,Mingfei Cheng,Zhiwei Yang,Liangliang Chen,Guang Chen	2021	31
14	HiTRANS: A Hierarchical Transformer Network for Nested Named Entity Recognition Zhiwei Yang,Jing Ma,Hechang Chen,Yunke Zhang,Yi Chang	2021	7
15	Improving Rumor Detection by Promoting Information Campaigns With Transformer-Based Generative Adversarial Learning IEEE Transactions on Knowledge and Data Engineering ·Jing Ma,Jun Li,Wei Gao,Yang Yang,Kam‐Fai Wong	2021	27
16	The Improved A* Obstacle Avoidance Algorithm for the Plant Protection UAV with Millimeter Wave Radar and Monocular Camera Data Fusion Remote Sensing ·Xin Huang,Xiaoya Dong,Jing Ma,Kuan Liu,Shibbir Ahmed,Jinlong Lin,Baijing Qiu	2021	30
17	Partial correlation estimation for functional connectivity and its application to classification of chronic back pain patients IEICE Technical Report; IEICE Tech. Rep. ·Shun Takamura,Kenji Leibnitz,Tetsuya Shimokawa,Jing Ma,Mikio Hasegawa	2019	0
18	Short Text Classification Research Based on TW-CNN Journal of the Association for Information Systems ·Kefeng Pei,Yongzhou Chen,Jing Ma,Weimin Nie	2018	2
19	Detecting rumors from microblogs with recurrent neural networksbreakdown → Institutional Knowledge (InK) - Institutional Knowledge at Singapore Management University (Singapore Management University) ·Jing Ma,Wei Gao,Prasenjit Mitra,Sejeong Kwon,Bernard J. Jansen,Kam‐Fai Wong,Meeyoung Cha	2016	607
20	UIR-PKU: Twitter-OpinMiner System for Sentiment Analysis in Twitter at SemEval 2015 Xu Han,Binyang Li,Jing Ma,Yuxiao Zhang,Gaoyan Ou,Tengjiao Wang,Kam‐Fai Wong	2015	1

About Jing Ma

Jing Ma is a scholar working on Computational Mathematics, Artificial Intelligence and Business and International Management, having authored 90 papers that have together received 3.1k indexed citations. Recurring topics across this work include Topic Modeling (31 papers), Misinformation and Its Impacts (23 papers), Spam and Phishing Detection (9 papers), Sentiment Analysis and Opinion Mining (7 papers), Complex Network Analysis Techniques (7 papers), Natural Language Processing Techniques (6 papers), Advanced Text Analysis Techniques (6 papers) and Hate Speech and Cyberbullying Detection (5 papers). The work is most often cited by research in Statistical and Nonlinear Physics (1.1k citations), Information Systems (1.3k citations) and Sociology and Political Science (2.4k citations). Jing Ma has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Wei Gao, Kam‐Fai Wong, Bernard J. Jansen, Meeyoung Cha, Sejeong Kwon, Prasenjit Mitra, Yueming Lu, Zhongyu Wei, Shafiq Joty and Zhiwei Yang. Their work appears in journals such as Advanced Materials, Journal of Agricultural and Food Chemistry and Pattern Recognition.

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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