Chih‐Ping Wei
- Marketing top 2%
- Information Systems top 1%
- Web Data Mining and Analysis 15
- Data Mining Algorithms and Applications 10
- Artificial Intelligence top 1%
- Text and Document Classification Technologies 23
- Advanced Text Analysis Techniques 20
- Topic Modeling 12
- Sentiment Analysis and Opinion Mining 11
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- Image Retrieval and Classification Techniques 14
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- Digital Marketing and Social Media 13
- Co-authors
- Christopher C. YangPaul Jen‐Hwa HuTsang-Hsiang ChengTing‐Peng LiangYen‐Hsien LeeChin‐Sheng YangShengsheng XiaoMing Dong
- Journals
- Journal of the Association for Information Systems (21 papers)Decision Support Systems (14 papers)Journal of Management Information Systems (5 papers)
- Partner nations
- TaiwanUnited StatesHong Kong
In The Last Decade
Chih‐Ping Wei
102 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 133
- Marketing 509
- Information Systems and Management 256
- Information Systems 622
- Artificial Intelligence 862
- Organizational Behavior and Human Resource Management 267
Countries citing papers authored by Chih‐Ping Wei
This map shows the geographic impact of Chih‐Ping Wei'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 Chih‐Ping Wei with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chih‐Ping Wei more than expected).
Fields of papers citing papers by Chih‐Ping Wei
This network shows the impact of papers produced by Chih‐Ping Wei. 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 Chih‐Ping Wei. The network helps show where Chih‐Ping Wei may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chih‐Ping Wei, 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 | 2022 | 1 | |
| 2 | 2021 | 34 | |
| 3 | Partner Up: A Deep Learning Method for Predicting the Success of Social Media Influencer Collaboration | 2020 | 1 |
| 4 | Alternative Ingredient Recommendation: A Co-occurrence and Ingredient Category Importance Based Approach | 2018 | 5 |
| 5 | Impact of Perspective Taking on Reviewer Behavior: A Multi-Method Exploration | 2017 | 3 |
| 6 | Will Your Project Get the Green Light? Predicting the Success of Crowdfunding Campaigns | 2015 | 6 |
| 7 | Predicting The Helpfulness Of Online Product Reviewers: A Data Mining Approach | 2012 | 2 |
| 8 | Cost-Sensitive Learning for Recurrence Prediction of Breast Cancer | 2010 | 2 |
| 9 | 2010 | 0 | |
| 10 | Combining Coauthorship Network and Content for Literature Recommendation | 2010 | 1 |
| 11 | 2010 | 2 | |
| 12 | DERIVING TECHNOLOGY ROADMAPS WITH TECH MINING TECHNIQUES | 2008 | 3 |
| 13 | Preserving User Preferences in Document-Category Management: An Ontology-based Evolution Approach | 2007 | 1 |
| 14 | Context-aware Document-clustering Technique | 2007 | 0 |
| 15 | Turning Online Product Reviews to Customer Knowledge: A Semantic-based Sentiment Classification Approach | 2006 | 6 |
| 16 | Single-Class Learning for Spam Filtering: An Ensemble Approach | 2006 | 1 |
| 17 | An Evolution-based Approach to Preserving User Preferences in Document-Category Management | 2005 | 2 |
| 18 | Pharmacokinetic Data Mining for Managing Clinical Use of Vancomycin | 2005 | 1 |
| 19 | Use of Text Summarization for Supporting Event Detection | 2004 | 3 |
| 20 | A Clustering-based Approach for Supporting Document-Category Integration | 2003 | 2 |
About Chih‐Ping Wei
Chih‐Ping Wei is a scholar working on Artificial Intelligence, Information Systems, Marketing, Management of Technology and Innovation and Strategy and Management, having authored 109 papers that have together received 2.2k indexed citations. Recurring topics across this work include Text and Document Classification Technologies (23 papers), Advanced Text Analysis Techniques (20 papers), Web Data Mining and Analysis (15 papers), Image Retrieval and Classification Techniques (14 papers), Digital Marketing and Social Media (13 papers), Topic Modeling (12 papers), Sentiment Analysis and Opinion Mining (11 papers) and Data Mining Algorithms and Applications (10 papers). The work is most often cited by research in Marketing (509 citations), Information Systems and Management (256 citations), Information Systems (622 citations), Artificial Intelligence (862 citations) and Organizational Behavior and Human Resource Management (267 citations). Chih‐Ping Wei has collaborated with scholars based in Taiwan, United States and Hong Kong. Frequent co-authors include Christopher C. Yang, Paul Jen‐Hwa Hu, Tsang-Hsiang Cheng, Ting‐Peng Liang, Yen‐Hsien Lee, Chin‐Sheng Yang, Shengsheng Xiao, Ming Dong, Olivia R. Liu Sheng and San‐Yih Hwang. Their work appears in journals such as Journal of the Association for Information Systems, Decision Support Systems, Journal of Management Information Systems, IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans and Information Processing & Management.
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.