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).
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-authorship network of co-authors of Shou-De Lin
This figure shows the co-authorship network connecting the top 25 collaborators of Shou-De Lin.
A scholar is included among the top collaborators of Shou-De Lin based on the total number of
citations received by their joint publications. Widths of edges
represent the number of papers authors have co-authored together.
Node borders
signify the number of papers an author published with Shou-De Lin. Shou-De Lin is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Yen, Ian En-Hsu, et al.. (2018). MixLasso: Generalized Mixed Regression via Convex Atomic-Norm Regularization. Neural Information Processing Systems. 31. 10868–10876.1 indexed citations
5.
Yeh, Mi-Yen, et al.. (2017). Preserving Proximity and Global Ranking for Node Embedding. Neural Information Processing Systems. 5168–5177.4 indexed citations
6.
Yeh, Mi-Yen, et al.. (2017). PRUNE: Preserving Proximity and Global Ranking for Network Embedding. Neural Information Processing Systems. 30. 5257–5266.31 indexed citations
7.
Hsieh, Hsun-Ping, Cheng–Te Li, & Shou-De Lin. (2015). Measuring and recommending time-sensitive routes from location-based data. International Conference on Artificial Intelligence. 4193–4196.2 indexed citations
8.
Yen, Ian En-Hsu, et al.. (2015). A dual-augmented block minimization framework for learning with limited memory. Neural Information Processing Systems. 28. 3582–3590.2 indexed citations
9.
Lin, Shou-De, et al.. (2014). Sparse Random Feature Algorithm as Coordinate Descent in Hilbert Space. Neural Information Processing Systems. 27. 2456–2464.23 indexed citations
10.
Jiang, Han, et al.. (2013). IJCAI 2013, Proceedings of the 23rd International Joint Conference on Artificial Intelligence. National Conference on Artificial Intelligence.53 indexed citations
11.
Yan, Rui, Han Jiang, Mirella Lapata, et al.. (2013). Semantic v.s. Positions: Utilizing Balanced Proximity in Language Model Smoothing for Information Retrieval. Edinburgh Research Explorer (University of Edinburgh). 507–515.3 indexed citations
12.
Chiang, Tsung‐Hsien, Hung-Yi Lo, & Shou-De Lin. (2012). A Ranking-based KNN Approach for Multi-Label Classification. Asian Conference on Machine Learning. 81–96.26 indexed citations
Kuo, Tsung-Ting, et al.. (2012). Exploiting Latent Information to Predict Diffusions of Novel Topics on Social Networks. Meeting of the Association for Computational Linguistics. 344–348.11 indexed citations
16.
Li, Cheng–Te, et al.. (2011). MemeTube: A Sentiment-based Audiovisual System for Analyzing and Displaying Microblog Messages. Meeting of the Association for Computational Linguistics. 32–37.8 indexed citations
17.
Yu, Hsiang‐Fu, Hung-Yi Lo, Hsun-Ping Hsieh, et al.. (2010). Feature Engineering and Classifier Ensemble for KDD Cup 2010. Knowledge Discovery and Data Mining.89 indexed citations
18.
Lo, Hung-Yi, Kai‐Wei Chang, Shang-Tse Chen, et al.. (2009). An ensemble of three classifiers for KDD cup 2009: expanded linear model, heterogeneous boosting, and selective naïve Bayes. Knowledge Discovery and Data Mining. 57–64.11 indexed citations
19.
Lin, Shou-De & Craig A. Knoblock. (2005). SERGEANT: A framework for building more flexible web agents by exploiting a search engine. Web Intelligence and Agent Systems An International Journal. 3(1). 1–15.2 indexed citations
20.
Lin, Shou-De. (2004). Interesting instance discovery in multi-relational data. National Conference on Artificial Intelligence. 991–992.3 indexed citations
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.