Sun‐Yuan Hsieh

5.6k total citations
235 papers, 4.1k citations indexed

About

Sun‐Yuan Hsieh is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Sun‐Yuan Hsieh has authored 235 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 163 papers in Computer Networks and Communications, 87 papers in Electrical and Electronic Engineering and 72 papers in Computational Theory and Mathematics. Recurrent topics in Sun‐Yuan Hsieh's work include Interconnection Networks and Systems (137 papers), Advanced Graph Theory Research (63 papers) and Advanced Optical Network Technologies (34 papers). Sun‐Yuan Hsieh is often cited by papers focused on Interconnection Networks and Systems (137 papers), Advanced Graph Theory Research (63 papers) and Advanced Optical Network Technologies (34 papers). Sun‐Yuan Hsieh collaborates with scholars based in Taiwan, China and United States. Sun‐Yuan Hsieh's co-authors include Nai-Wen Chang, Chia‐Wei Lee, Limei Lin, Chin-Wen Ho, Gen-Huey Chen, Li Xu, Shuming Zhou, Che-Nan Kuo, Chun-An Chen and Cheng‐Yen Tsai and has published in prestigious journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.

In The Last Decade

Sun‐Yuan Hsieh

209 papers receiving 4.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sun‐Yuan Hsieh Taiwan 39 3.5k 1.7k 1.1k 924 473 235 4.1k
Jianxi Fan China 35 2.7k 0.8× 1.4k 0.8× 647 0.6× 577 0.6× 306 0.6× 195 3.2k
Cheng‐Kuan Lin Taiwan 24 1.9k 0.5× 881 0.5× 542 0.5× 412 0.4× 312 0.7× 139 2.1k
Lih‐Hsing Hsu Taiwan 30 2.8k 0.8× 1.3k 0.8× 1.2k 1.1× 650 0.7× 443 0.9× 142 3.0k
Eddie Cheng United States 28 2.1k 0.6× 772 0.4× 962 0.9× 294 0.3× 457 1.0× 176 2.4k
Xiaola Lin China 26 1.6k 0.4× 982 0.6× 233 0.2× 519 0.6× 59 0.1× 109 2.1k
Gen-Huey Chen Taiwan 24 1.7k 0.5× 961 0.6× 480 0.4× 390 0.4× 97 0.2× 136 2.2k
Dajin Wang United States 23 1.2k 0.3× 627 0.4× 200 0.2× 320 0.3× 159 0.3× 93 1.4k
Pradip K. Srimani United States 24 1.2k 0.3× 327 0.2× 291 0.3× 213 0.2× 39 0.1× 217 1.8k
Jonathan Turner United States 29 9.1k 2.6× 3.1k 1.8× 240 0.2× 2.2k 2.4× 14 0.0× 93 10.0k
Jung‐Sing Jwo Taiwan 11 521 0.1× 254 0.1× 274 0.3× 89 0.1× 58 0.1× 43 835

Countries citing papers authored by Sun‐Yuan Hsieh

Since Specialization
Citations

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

Fields of papers citing papers by Sun‐Yuan Hsieh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sun‐Yuan Hsieh. 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 Sun‐Yuan Hsieh. The network helps show where Sun‐Yuan Hsieh may publish in the future.

Co-authorship network of co-authors of Sun‐Yuan Hsieh

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

All Works

20 of 20 papers shown
1.
Liu, Jiafei, et al.. (2025). A hybrid fault detection algorithm with the g -good-neighbor pattern and its applications. Discrete Applied Mathematics. 378. 366–376.
2.
Zhou, Shuming, et al.. (2025). A Novel Diagnostic Strategy Based on Closed Neighborhood Fault Pattern. IEEE Transactions on Network Science and Engineering. 13. 625–638.
3.
Hsieh, Sun‐Yuan, et al.. (2025). Deep learning-based prediction of mortality using brain midline shift and clinical information. Heliyon. 11(2). e41271–e41271. 3 indexed citations
4.
Chou, Hsin‐Hung, et al.. (2025). Machine learning approach for predicting ovarian maturation in Penaeus monodon. Smart Agricultural Technology. 12. 101597–101597.
5.
Chou, Hsin‐Hung, et al.. (2025). System-level integration of deep learning and computer vision for contact ring seal defect detection in semiconductor manufacturing. Expert Systems with Applications. 298. 129551–129551.
6.
Lin, Limei, et al.. (2025). Forward Legal Anonymous Group Pairing-Onion Routing for Mobile Opportunistic Networks. IEEE Transactions on Mobile Computing. 24(7). 6595–6612. 1 indexed citations
7.
Yang, Gang, et al.. (2024). Monitoring the edges of a graph using distances with given girth. Journal of Computer and System Sciences. 143. 103528–103528. 4 indexed citations
8.
Zhang, Yuxin, Limei Lin, Yanze Huang, et al.. (2024). A Cooperative Vehicle-Road System for Anomaly Detection on Vehicle Tracks With Augmented Intelligence of Things. IEEE Internet of Things Journal. 11(22). 35975–35988. 6 indexed citations
9.
Klasing, Ralf, et al.. (2023). A parallel algorithm for constructing multiple independent spanning trees in bubble-sort networks. Journal of Parallel and Distributed Computing. 181. 104731–104731. 5 indexed citations
10.
Lin, Peng‐Chan, et al.. (2023). Slice-Fusion: Reducing False Positives in Liver Tumor Detection for Mask R-CNN. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 20(5). 3267–3277. 8 indexed citations
11.
Li, Yun, et al.. (2023). A Weighted Optimal Scheduling Scheme for Congestion Control in Cloud Data Center Networks. IEEE Transactions on Services Computing. 16(4). 2402–2410. 4 indexed citations
12.
Hsieh, Sun‐Yuan, et al.. (2023). Combinatorial Algorithms. Lecture notes in computer science.
13.
Hsieh, Sun‐Yuan, et al.. (2022). A Niching Regression Adaptive Memetic Algorithm for Multimodal Optimization of the Euclidean Traveling Salesman Problem. IEEE Transactions on Evolutionary Computation. 27(5). 1413–1426. 9 indexed citations
14.
15.
Hsieh, Sun‐Yuan, et al.. (2019). Constructing Independent Spanning Trees on Pancake Networks. IEEE Access. 8. 3427–3433. 6 indexed citations
16.
Lin, Limei, et al.. (2018). The Relationship Between $g$ -Restricted Connectivity and $g$-Good-Neighbor Fault Diagnosability of General Regular Networks. IEEE Transactions on Reliability. 67(1). 285–296. 54 indexed citations
17.
Lin, Limei, Li Xu, Riqing Chen, Sun‐Yuan Hsieh, & Dajin Wang. (2017). Relating Extra Connectivity and Extra Conditional Diagnosability in Regular Networks. IEEE Transactions on Dependable and Secure Computing. 16(6). 1086–1097. 76 indexed citations
18.
Hsieh, Sun‐Yuan, et al.. (2010). Path Embeddings and Related Properties in Cartesian Product Graphs.. Parallel and Distributed Processing Techniques and Applications. 508–514. 1 indexed citations
19.
Hsieh, Sun‐Yuan, et al.. (2006). The k-degree Cayley graph and its topological properties. Networks. 47(1). 26–36. 13 indexed citations
20.
Hsieh, Sun‐Yuan, et al.. (1999). Parallel decomposition of generalized series-parallel graphs. Journal of information science and engineering. 15(3). 407–417. 4 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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