Ming-Feng Tsai
Impact in
- Information Systems top 0.5%
- Recommender Systems and Techniques
- Information Retrieval and Search Behavior
- Web Data Mining and Analysis
- Artificial Intelligence top 1%
- Topic Modeling
- Text and Document Classification Technologies
- Advanced Graph Neural Networks
Papers in
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- Topic Modeling 19
- Advanced Graph Neural Networks 12
- Advanced Text Analysis Techniques 12
- Text and Document Classification Technologies 10
- Sentiment Analysis and Opinion Mining 9
-
- Stock Market Forecasting Methods 10
Ming-Feng Tsai
57 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Information Systems 988
- Artificial Intelligence 1.4k
- Computer Vision and Pattern Recognition 612
- Management Science and Operations Research 347
- Signal Processing 228
Countries citing papers authored by Ming-Feng Tsai
This map shows the geographic impact of Ming-Feng Tsai'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 Ming-Feng Tsai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming-Feng Tsai more than expected).
Fields of papers citing papers by Ming-Feng Tsai
This network shows the impact of papers produced by Ming-Feng Tsai. 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 Ming-Feng Tsai. The network helps show where Ming-Feng Tsai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming-Feng Tsai, 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 | 2024 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2022 | 4 | |
| 4 | Query Expansion with Semantic-Based Ellipsis Reduction for Conversational IR. | 2020 | 1 |
| 5 | Query and Answer Expansion from Conversation History. | 2019 | 5 |
| 6 | 2017 | 2 | |
| 7 | 2017 | 11 | |
| 8 | Music Playlist Recommendation via Preference Embedding. | 2016 | 2 |
| 9 | Dish Discovery via Word Embeddings on Restaurant Reviews. | 2016 | 1 |
| 10 | Exploiting Latent Social Listening Representations for Music Recommendations | 2015 | 5 |
| 11 | Financial Sentiment Analysis for Risk Prediction | 2013 | 28 |
| 12 | NTU Approaches to Subtopic Mining and Document Ranking at NTCIR-9 Intent Task. | 2011 | 1 |
| 13 | Latent Prosody Model-Assisted Mandarin Accent Identification | 2009 | 0 |
| 14 | 2008 | 14 | |
| 15 | 2008 | 26 | |
| 16 | 2007 | 159 | |
| 17 | 2007 | 96 | |
| 18 | Similarity Computation in Novelty Detection and Biomedical Text Categorization. | 2004 | 1 |
| 19 | Approach of Information Retrieval with Reference Corpus to Novelty Detection. | 2003 | 4 |
| 20 | Some Similarity Computation Methods in Novelty Detection. | 2002 | 4 |
About Ming-Feng Tsai
Ming-Feng Tsai is a scholar working on Artificial Intelligence, Management Science and Operations Research, Information Systems, Signal Processing and Statistical and Nonlinear Physics, having authored 63 papers that have together received 2.2k indexed citations. Recurring topics across this work include Topic Modeling (19 papers), Recommender Systems and Techniques (14 papers), Advanced Graph Neural Networks (12 papers), Advanced Text Analysis Techniques (12 papers), Stock Market Forecasting Methods (10 papers), Text and Document Classification Technologies (10 papers), Sentiment Analysis and Opinion Mining (9 papers) and Information Retrieval and Search Behavior (9 papers). The work is most often cited by research in Information Systems (988 citations), Artificial Intelligence (1.4k citations), Computer Vision and Pattern Recognition (612 citations), Management Science and Operations Research (347 citations) and Signal Processing (228 citations). Ming-Feng Tsai has collaborated with scholars based in Taiwan, United States and Canada. Frequent co-authors include Tao Qin, Tie‐Yan Liu, Hang Li, Zhe Cao, Chuan‐Ju Wang, Hsin‐Hsi Chen, Chih-Ming Chen, Jheng-Hong Yang, Wei‐Ying Ma and H. Ping Tserng. Their work appears in journals such as Information Processing & Management, Information Retrieval, ACM Transactions on Information Systems, Automation in Construction and Social Network Analysis and Mining.
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.