Shou-De Lin

3.1k citations
137 papers · 1.8k · h-index 24

Impact in

Papers in

Shou-De Lin

132 papers receiving 1.7k citations

Peers

Shou-De Lin
Comparison fields: 5 of 113
  • Statistical and Nonlinear Physics 394
  • Artificial Intelligence 983
  • Transportation 160
  • Information Systems 498
  • Computer Science Applications 114
Replace Hongbo Deng with:
Hongbo Deng China
Martin Atzmueller Germany
Pasquale De Meo Italy
Zhaohui Zheng United States
Antonio Picariello Italy
Ni Lao United States
Xiangfeng Luo China
Zhe Zhao China
Sen Wu China
Yao Wu China
Shou-De Lin relative to Hongbo Deng China Hongbo Deng's profile →
Citations per field
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Hongbo Deng · 1×
Citations per year

Countries citing papers authored by Shou-De Lin

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Shou-De Lin Line = papers co-authored together Shou-De Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 137 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015141
2
Feature Engineering and Classifier Ensemble for KDD Cup 2010
201089
3 200188
4 201967
5 201165
6 201262
7 201554
8
IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence
201353
9 201453
10
i, poet: automatic Chinese poetry composition through a generative summarization framework under constrained optimization
201349
11 200448
12
Exploiting Machine Learning Models for Chinese Legal Documents Labeling, Case Classification, and Sentencing Prediction
201244
13 201938
14 201337
15 201836
16 201335
17 201332
18
PRUNE: Preserving Proximity and Global Ranking for Network Embedding
201731
19 200827
20
A Ranking-based KNN Approach for Multi-Label Classification
201226

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 137 papers that have together received 1.8k indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (40 papers), Opinion Dynamics and Social Influence (24 papers), Advanced Graph Neural Networks (19 papers), Topic Modeling (19 papers), Human Mobility and Location-Based Analysis (17 papers), Natural Language Processing Techniques (15 papers), Recommender Systems and Techniques (13 papers) and Data Management and Algorithms (11 papers). The work is most often cited by research in Statistical and Nonlinear Physics (394 citations), Artificial Intelligence (983 citations), Transportation (160 citations), Information Systems (498 citations) and Computer Science Applications (114 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, Yu Zheng, Hans Chalupsky, Hung-Yi Lo, Tsung-Ting Kuo, Mi-Yen Yeh, Man-Kwan Shan, Chung‐Yi Li and Hsin‐Min Wang. Their work appears in journals such as ACM Transactions on Intelligent Systems and Technology, IEEE Transactions on Knowledge and Data Engineering, Social Network Analysis and Mining, Information Sciences 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.

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