Shou-De Lin
Impact in
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Artificial Intelligence top 1%
- Advanced Graph Neural Networks
- Topic Modeling
- Text and Document Classification Technologies
- Natural Language Processing Techniques
Papers in
-
- Topic Modeling 22
- Advanced Graph Neural Networks 22
- Natural Language Processing Techniques 16
- Text and Document Classification Technologies 12
-
- Complex Network Analysis Techniques 44
- Opinion Dynamics and Social Influence 27
- Co-authors
- Cheng–Te Li (40 shared papers)Hsun-Ping Hsieh (14 shared papers)Tsung-Ting Kuo (22 shared papers)Hans Chalupsky (4 shared papers)Hung-Yi Lo (11 shared papers)Yu Zheng (1 shared paper)Man-Kwan Shan (7 shared papers)Hsin‐Min Wang (5 shared papers)
- Journals
- ACM Transactions on Intelligent Systems and Technology (6 papers)Social Network Analysis and Mining (3 papers)IEEE Transactions on Knowledge and Data Engineering (3 papers)Knowledge and Information Systems (2 papers)Data Mining and Knowledge Discovery (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Shou-De Lin
145 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 116
- Statistical and Nonlinear Physics 461
- Artificial Intelligence 1.1k
- Transportation 183
- Information Systems 590
- Signal Processing 258
Countries citing papers authored by Shou-De Lin
This map shows the geographic impact of Shou-De Lin'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 Shou-De Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shou-De Lin more than expected).
Fields of papers citing papers by Shou-De Lin
This network shows the impact of papers produced by Shou-De Lin. 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 Shou-De Lin. The network helps show where Shou-De Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Shou-De Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 156 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 154 | |
| 2 | 2001 | 122 | |
| 3 | Feature Engineering and Classifier Ensemble for KDD Cup 2010 | 2010 | 100 |
| 4 | 2011 | 74 | |
| 5 | 2012 | 71 | |
| 6 | 2019 | 68 | |
| 7 | IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence | 2013 | 61 |
| 8 | i, poet: automatic Chinese poetry composition through a generative summarization framework under constrained optimization | 2013 | 58 |
| 9 | 2014 | 57 | |
| 10 | 2015 | 57 | |
| 11 | 2004 | 56 | |
| 12 | Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction | 2012 | 56 |
| 13 | 2013 | 42 | |
| 14 | 2013 | 40 | |
| 15 | 2019 | 38 | |
| 16 | 2018 | 37 | |
| 17 | PRUNE: Preserving Proximity and Global Ranking for Network Embedding | 2017 | 36 |
| 18 | A Ranking-based KNN Approach for Multi-Label Classification | 2012 | 34 |
| 19 | 2013 | 34 | |
| 20 | 2018 | 32 |
About Shou-De Lin
Shou-De Lin is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Information Systems, Computer Vision and Pattern Recognition and Signal Processing, having authored 156 papers that have together received 2.1k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (44 papers), Opinion Dynamics and Social Influence (27 papers), Topic Modeling (22 papers), Advanced Graph Neural Networks (22 papers), Human Mobility and Location-Based Analysis (20 papers), Recommender Systems and Techniques (16 papers), Natural Language Processing Techniques (16 papers) and Text and Document Classification Technologies (12 papers). The work is most often cited by research in Statistical and Nonlinear Physics (461 citations), Artificial Intelligence (1.1k citations), Transportation (183 citations), Information Systems (590 citations) and Signal Processing (258 citations). Shou-De Lin has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Cheng–Te Li, Hsun-Ping Hsieh, Tsung-Ting Kuo, Hans Chalupsky, Hung-Yi Lo, Yu Zheng, Man-Kwan Shan, Hsin‐Min Wang, Mi-Yen Yeh and Chung‐Yi Li. Their work appears in journals such as ACM Transactions on Intelligent Systems and Technology, Social Network Analysis and Mining, IEEE Transactions on Knowledge and Data Engineering, Knowledge and Information Systems and Data Mining and Knowledge Discovery.
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.