Peter Wang

38 papers receiving 538 citations

Peers

Peter Wang
Comparison fields: 5 of 125
  • Health Informatics 32
  • Computational Theory and Mathematics 53
  • Molecular Medicine 16
  • Biomaterials 42
  • Biomedical Engineering 116
Replace Theodore Kee with:
Theodore Kee United States
Nupur Biswas India
Eliah Aronoff‐Spencer United States
Minjie Fan China
Esma Herzel Israel
Chih‐Yuan Cheng Taiwan
Glennon W. Simmons United States
Rizwan Ali Pakistan
Jaewoo Lim South Korea
Muxuan Liang United States
Peter Wang relative to Theodore Kee United States Theodore Kee's profile →
Citations per field
00.5×1.5×1.9×
Theodore Kee · 1×
Citations per year

Countries citing papers authored by Peter Wang

Since Specialization
Citations

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

Fields of papers citing papers by Peter Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Peter Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Peter Wang Line = papers co-authored together Peter Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201899
2 201883
3 202435
4
Evaluating Attribution for Graph Neural Networks
202033
5 201628
6 201927
7 201227
8 202418
9 200518
10 201317
11 202413
12
Performance of multi-agent coordination of distributed energy resources
200713
13 201812
14 202211
15 202211
16 200910
17 201810
18 20209
19 19938
20 20257

About Peter Wang

Peter Wang is a scholar working on Biomedical Engineering, Molecular Biology, Artificial Intelligence, Surgery and Pulmonary and Respiratory Medicine, having authored 42 papers that have together received 558 indexed citations. Recurring topics across this work include Diamond and Carbon-based Materials Research (3 papers), 3D Printing in Biomedical Research (3 papers), Antibiotic Resistance in Bacteria (2 papers), Cancer Genomics and Diagnostics (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Optical Coatings and Gratings (2 papers), Computational Drug Discovery Methods (2 papers) and Graphene and Nanomaterials Applications (2 papers). The work is most often cited by research in Health Informatics (32 citations), Computational Theory and Mathematics (53 citations), Molecular Medicine (16 citations), Biomaterials (42 citations) and Biomedical Engineering (116 citations). Peter Wang has collaborated with scholars based in Singapore, United States and Australia. Frequent co-authors include Dean Ho, Theodore Kee, Xiujuan Qu, Xiaofang Che, Sanjay Lakhotia, Alexandra Drakaki, Michael H. Silverman, Allan J. Pantuck, Chih‐Ming Ho and Arie S. Belldegrun. Their work appears in journals such as Advanced Therapeutics, Advanced Healthcare Materials, Future Microbiology, ACS Central Science and Diamond and Related Materials.

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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