Suwen Lin

466 total citations
11 papers, 129 citations indexed

About

Suwen Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Suwen Lin has authored 11 papers receiving a total of 129 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Signal Processing. Recurrent topics in Suwen Lin's work include Anomaly Detection Techniques and Applications (3 papers), Data Visualization and Analytics (2 papers) and Time Series Analysis and Forecasting (2 papers). Suwen Lin is often cited by papers focused on Anomaly Detection Techniques and Applications (3 papers), Data Visualization and Analytics (2 papers) and Time Series Analysis and Forecasting (2 papers). Suwen Lin collaborates with scholars based in United States, China and Hong Kong. Suwen Lin's co-authors include Nitesh V. Chawla, Xiaobo Sharon Hu, Yang Zhang, Dong Wang, Daniel Zhang, Yue Ma, Pablo Robles-Granda, Louis Faust, Tomasz Kajdanowicz and Ronald Metoyer and has published in prestigious journals such as PLoS ONE, Frontiers in Endocrinology and Frontiers in Digital Health.

In The Last Decade

Suwen Lin

11 papers receiving 128 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Suwen Lin United States	6	29	28	28	20	13	11	129
Faisal Alquaddoomi United States	6	39 1.3×	18 0.6×	15 0.5×	36 1.8×	6 0.5×	10	191
Jeroen Ooms United States	5	34 1.2×	9 0.3×	20 0.7×	22 1.1×	5 0.4×	20	159
Émilie Balland France	6	9 0.3×	44 1.6×	37 1.3×	33 1.6×	13 1.0×	18	158
Huy A. Nguyen United States	8	53 1.8×	31 1.1×	49 1.8×	8 0.4×	4 0.3×	25	178
Han Shi China	5	14 0.5×	21 0.8×	38 1.4×	25 1.3×	5 0.4×	11	96
Ricardo Costa Portugal	7	6 0.2×	18 0.6×	21 0.8×	21 1.1×	2 0.2×	11	90
Prabhash Chandra Pathak India	4	6 0.2×	17 0.6×	37 1.3×	4 0.2×	5 0.4×	9	114
Md. Sabab Zulfiker Bangladesh	7	21 0.7×	13 0.5×	66 2.4×	4 0.2×	9 0.7×	10	251
Paolo Bolettieri Italy	7	7 0.2×	10 0.4×	36 1.3×	91 4.5×	3 0.2×	16	138
Nupur Soni India	4	6 0.2×	13 0.5×	40 1.4×	5 0.3×	5 0.4×	14	116

Countries citing papers authored by Suwen Lin

Since Specialization

Citations

This map shows the geographic impact of Suwen 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 Suwen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suwen Lin more than expected).

Fields of papers citing papers by Suwen Lin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Suwen 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 Suwen Lin. The network helps show where Suwen Lin may publish in the future.

Co-authorship network of co-authors of Suwen Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Suwen Lin. A scholar is included among the top collaborators of Suwen 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 Suwen Lin. Suwen Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

11 of 11 papers shown

1.

Lin, Suwen, Lin Huang, Ning Huang, et al.. (2023). Discovery of a novel, liver-targeted thyroid hormone receptor-β agonist, CS271011, in the treatment of lipid metabolism disorders. Frontiers in Endocrinology. 14. 1109615–1109615. 9 indexed citations

2.

Faust, Louis, Keith Feldman, Suwen Lin, et al.. (2021). Examining Response to Negative Life Events Through Fitness Tracker Data. Frontiers in Digital Health. 3. 659088–659088. 3 indexed citations

3.

Lin, Suwen, Xian Wu, & Nitesh V. Chawla. (2021). motif2vec: Semantic-aware Representation Learning for Wearables' Time Series Data. 1–10. 1 indexed citations

4.

Lin, Suwen, Louis Faust, & Nitesh V. Chawla. (2021). Lan: Learning to Augment Noise Tolerance for Self-report Survey Labels. 1–10. 1 indexed citations

5.

Lin, Suwen, Louis Faust, Pablo Robles-Granda, Tomasz Kajdanowicz, & Nitesh V. Chawla. (2019). Social network structure is predictive of health and wellness. PLoS ONE. 14(6). e0217264–e0217264. 28 indexed citations

6.

Lin, Suwen, et al.. (2019). GameViews. 1–13. 17 indexed citations

7.

Huang, Chao, Xian Wu, Xuchao Zhang, Suwen Lin, & Nitesh V. Chawla. (2019). Deep Prototypical Networks for Imbalanced Time Series Classification under Data Scarcity. 2141–2144. 10 indexed citations

8.

Zhang, Daniel, Yue Ma, Yang Zhang, et al.. (2018). A Real-Time and Non-Cooperative Task Allocation Framework for Social Sensing Applications in Edge Computing Systems. 15. 316–326. 47 indexed citations

9.

Lin, Suwen, et al.. (2018). VisPod. 1–2. 1 indexed citations

10.

Liu, Pengfei, Wu Jie, Haiyan Li, & Suwen Lin. (2011). Economic values of bee pollination to China's agriculture.. Zhongguo nongye Kexue. 44(24). 5117–5123. 11 indexed citations

11.

Lin, Suwen. (2005). A study on the model to predict the faculty change at colleges and universities. Journal of Fujian Agriculture and Forestry University. 1 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.

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