Feiyi Wang

2.0k total citations
95 papers, 1.1k citations indexed

About

Feiyi Wang is a scholar working on Computer Networks and Communications, Hardware and Architecture and Artificial Intelligence. According to data from OpenAlex, Feiyi Wang has authored 95 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 66 papers in Computer Networks and Communications, 28 papers in Hardware and Architecture and 20 papers in Artificial Intelligence. Recurrent topics in Feiyi Wang's work include Advanced Data Storage Technologies (43 papers), Distributed and Parallel Computing Systems (32 papers) and Parallel Computing and Optimization Techniques (25 papers). Feiyi Wang is often cited by papers focused on Advanced Data Storage Technologies (43 papers), Distributed and Parallel Computing Systems (32 papers) and Parallel Computing and Optimization Techniques (25 papers). Feiyi Wang collaborates with scholars based in United States, Germany and India. Feiyi Wang's co-authors include Sarp Oral, Galen Shipman, David Dillow, Jung­hee Lee, Fengmin Gong, Youngjae Kim, Kishor S. Trivedi, Rong Wang, Kalyanaraman Vaidyanathan and Katerina Goševa-Popstojanova and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and IEEE Transactions on Computers.

In The Last Decade

Feiyi Wang

78 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Feiyi Wang United States 19 737 285 254 147 104 95 1.1k
Andrew Whitaker United States 19 856 1.2× 283 1.0× 583 2.3× 270 1.8× 124 1.2× 42 1.4k
Andrea Clematis Italy 13 272 0.4× 102 0.4× 139 0.5× 58 0.4× 66 0.6× 90 538
Juan Touriño Spain 15 557 0.8× 378 1.3× 287 1.1× 143 1.0× 21 0.2× 109 906
R. Bruce Irvin United States 5 429 0.6× 333 1.2× 192 0.8× 97 0.7× 28 0.3× 9 852
Cherri M. Pancake United States 12 279 0.4× 230 0.8× 134 0.5× 90 0.6× 24 0.2× 64 545
Daniele D’Agostino Italy 14 233 0.3× 56 0.2× 155 0.6× 72 0.5× 58 0.6× 86 622
Haihang You China 11 180 0.2× 167 0.6× 78 0.3× 129 0.9× 18 0.2× 55 530
William A. Wulf United States 21 817 1.1× 671 2.4× 358 1.4× 524 3.6× 19 0.2× 64 1.5k
Jason O. Hallstrom United States 15 293 0.4× 47 0.2× 192 0.8× 159 1.1× 26 0.3× 106 751
Zichen Xu China 15 315 0.4× 81 0.3× 263 1.0× 153 1.0× 33 0.3× 59 696

Countries citing papers authored by Feiyi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Feiyi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Feiyi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Feiyi Wang. A scholar is included among the top collaborators of Feiyi Wang 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 Feiyi Wang. Feiyi Wang 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
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Lu, Hao, et al.. (2025). Scaling the memory wall using mixed-precision - HPG-MxP on an exascale machine. 281–297. 1 indexed citations
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DeWitt, Stephen, Tirthankar Ghosal, Marshall McDonnell, et al.. (2025). AI Agents for Enabling Autonomous Experiments at ORNL's HPC and Manufacturing User Facilities. 2354–2361.
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Schulz, Karl W., Arthur F. Lorenzon, Jordà Polo, et al.. (2025). Bridging the Gap: User-Centric Energy Monitoring for Policy-Driven Application Optimization in HPC Data Centers. 2007–2016. 1 indexed citations
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Tsaris, Aristeidis, Mohamed Wahib, Larry M. York, et al.. (2025). Distributed Cross-Channel Hierarchical Aggregation for Foundation Models. 935–948.
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Yin, Junqi, et al.. (2024). Optimizing Distributed Training on Frontier for Large Language Models. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–11. 8 indexed citations
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Lu, Hao, et al.. (2024). Distributed Multi-GPU Community Detection on Exascale Computing Platforms. 815–824. 3 indexed citations
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Karimi, Ahmad Maroof, et al.. (2024). Power Profile Monitoring and Tracking Evolution of System-Wide HPC Workloads. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 93–104.
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Paul, Arnab K., et al.. (2024). Tarazu: An Adaptive End-to-end I/O Load-balancing Framework for Large-scale Parallel File Systems. ACM Transactions on Storage. 20(2). 1–42. 1 indexed citations
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Ma, Xiaodan, et al.. (2023). A method for detecting tomato canopies’ phenotypic traits based on improved skeleton extraction algorithm. Computers and Electronics in Agriculture. 214. 108285–108285. 16 indexed citations
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Ma, Xiaodan, et al.. (2023). Dynamic simulation of leaf area index for the soybean canopy based on 3D reconstruction. Ecological Informatics. 75. 102070–102070. 29 indexed citations
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Lu, Hao, Michael A. Matheson, John Gounley, et al.. (2023). TwoFold: Highly accurate structure and affinity prediction for protein-ligand complexes from sequences. The International Journal of High Performance Computing Applications. 37(6). 666–682. 2 indexed citations
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Yin, Junqi, et al.. (2023). FORGE: Pre-Training Open Foundation Models for Science. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–13. 9 indexed citations
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Lu, Hao, et al.. (2023). Optimizing Communication in 2D Grid-Based MPI Applications at Exascale. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–11. 1 indexed citations
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Wang, Feiyi. (2018). Interagency Coordination in the Implementation of Single Window: Lessons and Good Practice From Korea. World Customs Journal. 12(1). 6 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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