Chien-Shun Lo

17 total papers · 548 total citations
12 papers, 386 citations indexed

About

Chien-Shun Lo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chien-Shun Lo has authored 12 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Computer Vision and Pattern Recognition, 7 papers in Artificial Intelligence and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chien-Shun Lo's work include AI in cancer detection (6 papers), Medical Image Segmentation Techniques (4 papers) and Image Retrieval and Classification Techniques (3 papers). Chien-Shun Lo is often cited by papers focused on AI in cancer detection (6 papers), Medical Image Segmentation Techniques (4 papers) and Image Retrieval and Classification Techniques (3 papers). Chien-Shun Lo collaborates with scholars based in Taiwan, United States and Argentina. Chien-Shun Lo's co-authors include Chinsu Lin, Hsing‐Kuo Wang, Ruey‐Meei Wu, Wen‐Chieh Yang, Kwan-Hwa Lin, Chuin-Mu Wang, Chao-Cheng Wu, Pau‐Choo Chung, Giu‐Cheng Hsu and Chein‐I Chang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Neural Networks and IEEE Sensors Journal.

In The Last Decade

Chien-Shun Lo

12 papers receiving 369 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Chien-Shun Lo	92	80	73	71	65	12	386
� Brandt	91 1.0×	6 0.1×	25 0.3×	36 0.5×	26 0.4×	14	425
Yan Li	16 0.2×	48 0.6×	26 0.4×	36 0.5×	43 0.7×	24	394
Zhaoxu Zhang	19 0.2×	63 0.8×	43 0.6×	4 0.1×	6 0.1×	28	375
Lina Schelin	18 0.2×	131 1.6×	14 0.2×	16 0.2×	41 0.6×	25	442
Ahsan Shahzad	24 0.3×	16 0.2×	12 0.2×	53 0.7×	69 1.1×	14	362
Arif Reza Anwary	21 0.2×	3 0.0×	17 0.2×	105 1.5×	30 0.5×	22	435
Chuan Liu	10 0.1×	16 0.2×	20 0.3×	20 0.3×	26 0.4×	34	398
Mohammad Esmaeili	2 0.0×	22 0.3×	43 0.6×	5 0.1×	15 0.2×	28	380
Li-Yu Chang	13 0.1×	21 0.3×	8 0.1×	47 0.7×	12 0.2×	10	391
M. Frey	33 0.4×	17 0.2×	193 2.6×	31 0.4×	7 0.1×	12	404

Countries citing papers authored by Chien-Shun Lo

Since Specialization

Citations

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

Fields of papers citing papers by Chien-Shun Lo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chien-Shun Lo. 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 Chien-Shun Lo. The network helps show where Chien-Shun Lo may publish in the future.

Co-authorship network of co-authors of Chien-Shun Lo

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

All Works

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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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