Dedi Wang

22 total papers · 401 total citations
9 papers, 214 citations indexed

About

Dedi Wang is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Dedi Wang has authored 9 papers receiving a total of 214 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Materials Chemistry and 3 papers in Computational Theory and Mathematics. Recurrent topics in Dedi Wang's work include Protein Structure and Dynamics (8 papers), Machine Learning in Materials Science (4 papers) and Computational Drug Discovery Methods (3 papers). Dedi Wang is often cited by papers focused on Protein Structure and Dynamics (8 papers), Machine Learning in Materials Science (4 papers) and Computational Drug Discovery Methods (3 papers). Dedi Wang collaborates with scholars based in United States. Dedi Wang's co-authors include Pratyush Tiwary, Shashank Pant, John D. Weeks, Yihang Wang and Markus A. Seeliger and has published in prestigious journals such as The Journal of Chemical Physics, The Journal of Physical Chemistry B and Journal of Chemical Theory and Computation.

In The Last Decade

Dedi Wang

9 papers receiving 214 citations

Author Peers

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

Author Last Decade Papers Cites
Dedi Wang 166 100 62 32 24 9 214
Zachary Smith 158 1.0× 95 0.9× 57 0.9× 34 1.1× 25 1.0× 12 202
Roberto Menichetti 179 1.1× 106 1.1× 36 0.6× 38 1.2× 23 1.0× 15 267
Steven Lettieri 170 1.0× 49 0.5× 32 0.5× 28 0.9× 33 1.4× 11 301
Olivier Adjoua 128 0.8× 93 0.9× 72 1.2× 72 2.3× 18 0.8× 15 250
Ali Sinan Saglam 169 1.0× 35 0.3× 35 0.6× 27 0.8× 27 1.1× 7 206
Yuriy Khalak 165 1.0× 83 0.8× 110 1.8× 41 1.3× 23 1.0× 7 256
Dominik Lemm 140 0.8× 165 1.6× 59 1.0× 25 0.8× 9 0.4× 7 235
Xinzijian Liu 99 0.6× 83 0.8× 31 0.5× 171 5.3× 44 1.8× 12 328
George Boxer 263 1.6× 103 1.0× 35 0.6× 62 1.9× 70 2.9× 4 313
Kevin Molloy 184 1.1× 89 0.9× 35 0.6× 10 0.3× 28 1.2× 17 250

Countries citing papers authored by Dedi Wang

Since Specialization
Citations

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

Fields of papers citing papers by Dedi Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dedi Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Dedi Wang. A scholar is included among the top collaborators of Dedi 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 Dedi Wang. Dedi Wang 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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2026