Hongda Wang

68 total papers · 3.2k total citations
34 papers, 2.1k citations indexed

About

Hongda Wang is a scholar working on Atomic and Molecular Physics, and Optics, Biophysics and Media Technology. According to data from OpenAlex, Hongda Wang has authored 34 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Atomic and Molecular Physics, and Optics, 15 papers in Biophysics and 11 papers in Media Technology. Recurrent topics in Hongda Wang's work include Digital Holography and Microscopy (17 papers), Image Processing Techniques and Applications (11 papers) and Cell Image Analysis Techniques (9 papers). Hongda Wang is often cited by papers focused on Digital Holography and Microscopy (17 papers), Image Processing Techniques and Applications (11 papers) and Cell Image Analysis Techniques (9 papers). Hongda Wang collaborates with scholars based in United States, China and Russia. Hongda Wang's co-authors include Aydogan Özcan, Yair Rivenson, Yibo Zhang, Harun Günaydın, Zhensong Wei, Zoltán Göröcs, Yichen Wu, Yiyin Jin, Laurent A. Bentolila and Ronald Gao and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Methods and Scientific Reports.

In The Last Decade

Hongda Wang

31 papers receiving 2.0k citations

Hit Papers

Deep learning enables cro... 2017 2026 2020 2023 2018 2017 2019 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Hongda Wang 869 677 676 603 462 34 2.1k
Harun Günaydın 756 0.9× 787 1.2× 620 0.9× 598 1.0× 578 1.3× 11 2.1k
Kevin de Haan 698 0.8× 366 0.5× 416 0.6× 394 0.7× 395 0.9× 36 1.6k
Yibo Zhang 883 1.0× 1.4k 2.1× 933 1.4× 880 1.5× 855 1.9× 63 3.2k
Zoltán Göröcs 549 0.6× 911 1.3× 1.0k 1.5× 522 0.9× 356 0.8× 36 2.2k
Jonghee Yoon 482 0.6× 911 1.3× 909 1.3× 299 0.5× 243 0.5× 55 2.2k
Cédric Vonesch 457 0.5× 329 0.5× 547 0.8× 245 0.4× 500 1.1× 36 1.8k
Ming Lei 536 0.6× 1.4k 2.0× 958 1.4× 402 0.7× 350 0.8× 145 2.3k
Zahid Yaqoob 793 0.9× 1.8k 2.6× 1.7k 2.5× 511 0.8× 529 1.1× 102 3.1k
Ryoichi Horisaki 388 0.4× 1.3k 1.9× 885 1.3× 752 1.2× 651 1.4× 122 2.4k
Youngwoon Choi 310 0.4× 1.2k 1.8× 1.1k 1.6× 386 0.6× 301 0.7× 69 2.3k

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

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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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