James Ma
Impact in
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Information Systems top 5%
- Software Engineering Research
- Web Data Mining and Analysis
Papers in
-
- Topic Modeling 4
- Natural Language Processing Techniques 3
- Speech and dialogue systems 2
- Co-authors
- Irene Li (1 shared paper)Dongxu Wang (1 shared paper)Zifan Li (1 shared paper)Kai Yang (1 shared paper)Rui Zhang (1 shared paper)Tao Yu (1 shared paper)Zilin Zhang (1 shared paper)Michihiro Yasunaga (1 shared paper)
- Journals
- Social Semiotics (2 papers)Information Systems Frontiers (1 paper)Mind Culture and Activity (1 paper)Journal of Affective Disorders Reports (1 paper)Education 3-13 (1 paper)
- Partner nations
- United KingdomUnited StatesChina
In The Last Decade
James Ma
10 papers receiving 433 citations
James Ma's Hit Papers
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 331
- Information Systems 120
- Information Systems and Management 29
- Human Factors and Ergonomics 9
- Management Science and Operations Research 47
Countries citing papers authored by James Ma
This map shows the geographic impact of James 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 James Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James Ma more than expected).
Fields of papers citing papers by James Ma
This network shows the impact of papers produced by James 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 James Ma. The network helps show where James Ma may publish in the future.
Co-authors
The 20 scholars most cited alongside James Ma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task Hit paper breakdown → | 2018 | 385 |
| 2 | 2007 | 26 | |
| 3 | 2008 | 21 | |
| 4 | 2014 | 13 | |
| 5 | 2016 | 6 | |
| 6 | 2010 | 5 | |
| 7 | 2012 | 5 | |
| 8 | 2007 | 4 | |
| 9 | An Inference-rules based Categorial Grammar Learner for Simulating Language Acquisition | 2009 | 1 |
| 10 | Unsupervised Syntax Learning with Categorial Grammars using Inference Rules | 2009 | 1 |
| 11 | 2025 | 0 |
About James Ma
James Ma is a scholar working on Artificial Intelligence, Information Systems, Literature and Literary Theory, Sociology and Political Science and Human Factors and Ergonomics, having authored 11 papers that have together received 467 indexed citations. Recurring topics across this work include Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), EFL/ESL Teaching and Learning (2 papers), Discourse Analysis in Language Studies (2 papers), Innovative Education and Learning Practices (2 papers), Multilingual Education and Policy (2 papers), Speech and dialogue systems (2 papers) and Scientific Computing and Data Management (2 papers). The work is most often cited by research in Artificial Intelligence (331 citations), Information Systems (120 citations), Information Systems and Management (29 citations), Human Factors and Ergonomics (9 citations) and Management Science and Operations Research (47 citations). James Ma has collaborated with scholars based in United Kingdom, United States and China. Frequent co-authors include Irene Li, Dongxu Wang, Zifan Li, Kai Yang, Rui Zhang, Tao Yu, Zilin Zhang, Michihiro Yasunaga, Dragomir Radev and Daniel Zeng. Their work appears in journals such as Social Semiotics, Information Systems Frontiers, Mind Culture and Activity, Journal of Affective Disorders Reports and Education 3-13.
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.