W. Guan

5.6k total citations
28 papers, 166 citations indexed

About

W. Guan is a scholar working on Computer Networks and Communications, Nuclear and High Energy Physics and Information Systems and Management. According to data from OpenAlex, W. Guan has authored 28 papers receiving a total of 166 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Computer Networks and Communications, 13 papers in Nuclear and High Energy Physics and 11 papers in Information Systems and Management. Recurrent topics in W. Guan's work include Distributed and Parallel Computing Systems (18 papers), Scientific Computing and Data Management (11 papers) and Particle Detector Development and Performance (9 papers). W. Guan is often cited by papers focused on Distributed and Parallel Computing Systems (18 papers), Scientific Computing and Data Management (11 papers) and Particle Detector Development and Performance (9 papers). W. Guan collaborates with scholars based in United States, Switzerland and Russia. W. Guan's co-authors include T. Wenaus, Miron Livny, J. Chan, Alberto Di Meglio, V. Tsulaia, T. Maeno, C. Zhou, Shinjae Yoo, S. Sun and Federico Carminati and has published in prestigious journals such as SHILAP Revista de lepidopterología, Physical Chemistry Chemical Physics and Biomedicine & Pharmacotherapy.

In The Last Decade

W. Guan

25 papers receiving 162 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
W. Guan United States 7 64 53 32 31 17 28 166
Jim Kowalkowski United States 8 87 1.4× 47 0.9× 40 1.3× 82 2.6× 19 1.1× 41 206
P. Calafiura United States 10 128 2.0× 45 0.8× 41 1.3× 122 3.9× 9 0.5× 37 240
Deborah Bard United States 6 50 0.8× 30 0.6× 38 1.2× 7 0.2× 4 0.2× 11 135
T. Fredian United States 8 76 1.2× 12 0.2× 24 0.8× 72 2.3× 6 0.4× 21 154
G. A. Stewart Switzerland 9 234 3.7× 15 0.3× 109 3.4× 98 3.2× 16 0.9× 49 310
R. Divià Switzerland 6 37 0.6× 23 0.4× 8 0.3× 34 1.1× 3 0.2× 25 80
Y. Iiyama Japan 4 11 0.2× 44 0.8× 5 0.2× 61 2.0× 7 0.4× 10 126
В. Е. Кузнецов United States 7 53 0.8× 13 0.2× 23 0.7× 54 1.7× 8 0.5× 19 154
M. Potekhin United States 7 123 1.9× 10 0.2× 76 2.4× 55 1.8× 3 0.2× 23 168
T. Kuhr Germany 7 18 0.3× 21 0.4× 9 0.3× 104 3.4× 7 0.4× 23 154

Countries citing papers authored by W. Guan

Since Specialization
Citations

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

Fields of papers citing papers by W. Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of W. Guan

This figure shows the co-authorship network connecting the top 25 collaborators of W. Guan. A scholar is included among the top collaborators of W. Guan 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 W. Guan. W. Guan 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.
Maeno, T., K. De, W. Guan, et al.. (2024). PanDA: Production and Distributed Analysis System. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 8(1). 4 indexed citations
2.
Karavakis, E., W. Guan, Zhaoyu Yang, et al.. (2024). Integrating the PanDA Workload Management System with the Vera C. Rubin Observatory. SHILAP Revista de lepidopterología. 295. 4026–4026. 2 indexed citations
3.
Fanelli, C., Lino Oscar Gerlach, W. Guan, et al.. (2024). AI-assisted detector design for the EIC (AID(2)E). Journal of Instrumentation. 19(7). C07001–C07001. 2 indexed citations
4.
Lin, Tao, Dandan Chen, Yan Geng, et al.. (2023). Carboxymethyl Chitosan/Sodium Alginate/Chitosan Quaternary Ammonium Salt Composite Hydrogel Supported 3J for the Treatment of Oral Ulcer. Gels. 9(8). 659–659. 8 indexed citations
5.
Song, Liyan, Gang Li, W. Guan, et al.. (2023). Design, synthesis and anti-inflammatory activity study of lansiumamide analogues for treatment of acute lung injury. Biomedicine & Pharmacotherapy. 166. 115412–115412. 16 indexed citations
6.
Wu, S. L., J. Chan, W. Guan, et al.. (2022). Application of Quantum Machine Learning to HEP Analysis at LHC Using Quantum Computer Simulators and Quantum Computer Hardware. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 842–842. 2 indexed citations
7.
Guan, W., et al.. (2021). An intelligent Data Delivery Service for and beyond the ATLAS experiment. Springer Link (Chiba Institute of Technology). 4 indexed citations
8.
Wu, S. L., J. Chan, W. Guan, et al.. (2021). Application of quantum machine learning using the quantum variational classifier method to high energy physics analysis at the LHC on IBM quantum computer simulator and hardware with 10 qubits. Journal of Physics G Nuclear and Particle Physics. 48(12). 125003–125003. 52 indexed citations
9.
Guan, W., T. Maeno, Brian Bockelman, et al.. (2020). Towards an Intelligent Data Delivery Service. Springer Link (Chiba Institute of Technology). 2 indexed citations
10.
Chan, J., W. Guan, S. Sun, et al.. (2019). Application of Quantum Machine Learning to High Energy Physics Analysis at LHC using IBM Quantum Computer Simulators and IBM Quantum Computer Hardware. 116. 3 indexed citations
11.
Girolamo, A. Di, W. Guan, M. Lassnig, et al.. (2019). Towards an Event Streaming Service for ATLAS data processing. SHILAP Revista de lepidopterología. 214. 4034–4034. 3 indexed citations
12.
Nilsson, P., A. V. Anisenkov, W. Guan, et al.. (2019). The next generation PanDA Pilot for and beyond the ATLAS experiment. SHILAP Revista de lepidopterología. 214. 3054–3054. 4 indexed citations
13.
Torregrosa, E. Fullana, P. Calafiura, J. T. Childers, et al.. (2019). Grid production with the ATLAS Event Service. SHILAP Revista de lepidopterología. 214. 4016–4016. 2 indexed citations
14.
Anisenkov, A. V., et al.. (2018). Global heterogeneous resource harvesting: the next-generation PanDA Pilot for ATLAS. Journal of Physics Conference Series. 1085. 32031–32031. 1 indexed citations
15.
Cameron, David, A. Filipčič, W. Guan, et al.. (2017). Exploiting opportunistic resources for ATLAS with ARC CE and the Event Service. Journal of Physics Conference Series. 898. 52010–52010. 6 indexed citations
16.
Garonne, V., M-S. Barisits, T. A. Beermann, et al.. (2017). Experiences with the new ATLAS Distributed Data Management System. Journal of Physics Conference Series. 898. 62019–62019. 3 indexed citations
17.
Calafiura, P., J. T. Childers, K. De, et al.. (2017). Production experience with the ATLAS Event Service. Journal of Physics Conference Series. 898. 62002–62002. 2 indexed citations
18.
Calafiura, P., K. De, W. Guan, et al.. (2015). Fine grained event processing on HPCs with the ATLAS Yoda system. Journal of Physics Conference Series. 664(9). 92025–92025. 10 indexed citations
19.
Calafiura, P., K. De, W. Guan, et al.. (2015). The ATLAS Event Service: A new approach to event processing. Journal of Physics Conference Series. 664(6). 62065–62065. 19 indexed citations
20.
Wang, Da-Bin & W. Guan. (2008). MULTIPLE POSITIVE SOLUTIONS FOR p-LAPLACIAN FUNCTIONAL DYNAMIC EQUATIONS ON TIME SCALES. Taiwanese Journal of Mathematics. 12(9). 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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