Minghan Wang

4.8k citations
150 papers · 3.3k · h-index 29

Impact in

Papers in

    • Advanced biosensing and bioanalysis techniques 8
    • Metabolism, Diabetes, and Cancer 7
    • Natural Language Processing Techniques 27
    • Topic Modeling 22
    • Speech Recognition and Synthesis 13

Minghan Wang

135 papers receiving 3.2k citations

Peers

Minghan Wang
Comparison fields: 5 of 167
  • Geriatrics and Gerontology 245
  • Endocrinology, Diabetes and Metabolism 529
  • Molecular Biology 1.4k
  • Aging 33
  • Physiology 411
Replace Tao Pang with:
Tao Pang China
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Nicole Villeneuve France
Fang Han China
Fengying Li China
Kristofer S. Fritz United States
Marcello Maggiolini Italy
Jun Pu China
Kui Wang China
Minghan Wang relative to Tao Pang China Tao Pang's profile →
Citations per field
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Tao Pang · 1×
Citations per year

Countries citing papers authored by Minghan Wang

Since Specialization
Citations

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

Fields of papers citing papers by Minghan Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Minghan 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 Minghan Wang Line = papers co-authored together Minghan Wang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 150 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009354
2 2004281
3 2005219
4 2011152
5 2008119
6 2003113
7 2002110
8 1999100
9 201887
10 199978
11 201677
12 201274
13 201966
14 201857
15 201957
16 200356
17 201251
18 200847
19 200740
20 202039

About Minghan Wang

Minghan Wang is a scholar working on Molecular Biology, Artificial Intelligence, Endocrinology, Diabetes and Metabolism, Electrical and Electronic Engineering and Epidemiology, having authored 150 papers that have together received 3.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (27 papers), Topic Modeling (22 papers), Hormonal Regulation and Hypertension (19 papers), Speech Recognition and Synthesis (13 papers), Electronic Packaging and Soldering Technologies (11 papers), 3D IC and TSV technologies (9 papers), Advanced biosensing and bioanalysis techniques (8 papers) and Metabolism, Diabetes, and Cancer (7 papers). The work is most often cited by research in Geriatrics and Gerontology (245 citations), Endocrinology, Diabetes and Metabolism (529 citations), Molecular Biology (1.4k citations), Aging (33 citations) and Physiology (411 citations). Minghan Wang has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Stuart A. Ross, E. A. Gulve, Ki Won Kim, Michael R. Briggs, Dale L. Oxender, Ti‐Zhi Su, Larissa Atangan, Dirk Beher, John Y. Wu and Christopher Fotsch. Their work appears in journals such as Analytical Chemistry, Nutrients, Journal of Medicinal Chemistry, FEBS Letters and Assay and Drug Development Technologies.

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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