Hongda Wang

784 total citations
31 papers, 637 citations indexed

About

Hongda Wang is a scholar working on Biomedical Engineering, Molecular Biology and Computational Mechanics. According to data from OpenAlex, Hongda Wang has authored 31 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Biomedical Engineering, 7 papers in Molecular Biology and 5 papers in Computational Mechanics. Recurrent topics in Hongda Wang's work include Lattice Boltzmann Simulation Studies (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Nanopore and Nanochannel Transport Studies (3 papers). Hongda Wang is often cited by papers focused on Lattice Boltzmann Simulation Studies (5 papers), Lipid Membrane Structure and Behavior (4 papers) and Nanopore and Nanochannel Transport Studies (3 papers). Hongda Wang collaborates with scholars based in China, United States and Hong Kong. Hongda Wang's co-authors include Jingwei Zhao, Haijiao Xu, Haifei Liu, Li Sun, Shuai Jiang, Heng Chi, Jing Gao, Mingjun Cai, Shaoming Dong and Ka‐Leung Wong and has published in prestigious journals such as PLoS ONE, Biomaterials and Chemical Communications.

In The Last Decade

Hongda Wang

30 papers receiving 630 citations

Peers

Hongda Wang
Comparison fields: 5 of 112
  • Molecular Biology 166
  • Materials Chemistry 142
  • Biomedical Engineering 118
  • Immunology 74
  • Ceramics and Composites 63
Replace Paolo Colombi with:
Paolo Colombi Italy
Kai Lou China
Michaël Odorico France
John T. Simpson United States
Nan Liu China
Yang Tang China
Zhao Wang China
James F. Beecher United States
Jinghua Han China
Paolo Colombi Italy View profile →
Citations per field, relative to Hongda Wang
Hongda Wang · 1×
Citations per year, relative to Hongda Wang
Hongda Wang · 1×

Countries citing papers authored by Hongda Wang

Since Specialization
Citations

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

Fields of papers citing papers by Hongda Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongda Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Hongda Wang. A scholar is included among the top collaborators of Hongda 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 Hongda Wang. Hongda 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
# Work Indexed citations
1 0
2 7
3 4
4 12
5 50
6 13
7 3
8 1
9 56
10 3
11 35
12 39
13 9
14 4
15 36
16 12
17 9
18 57
19 25
20 4

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026