Ming Hao
Impact in
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
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- Data Visualization and Analytics
Papers in
-
- Data Visualization and Analytics 51
-
- Computational Drug Discovery Methods 17
- Co-authors
- Tomozumi Imamichi (6 shared papers)Weizhong Chang (6 shared papers)Henry Clifford Lane (2 shared papers)Ju Qiu (2 shared papers)Michael Baseler (1 shared paper)Brad T. Sherman (3 shared papers)Xiaoli Jiao (1 shared paper)Daniel A. Keim (37 shared papers)
- Journals
- Information Visualization (7 papers)International Journal of Molecular Sciences (7 papers)Viruses (3 papers)Computer Graphics Forum (3 papers)Analytica Chimica Acta (3 papers)
- Partner nations
- United StatesGermanyChina
In The Last Decade
Ming Hao
81 papers receiving 5.5k citations
Ming Hao's Hit Papers
Peers
Comparison fields: 5 of 164
- Computational Theory and Mathematics 641
- Computer Vision and Pattern Recognition 662
- Cancer Research 319
- Molecular Biology 1.4k
- Complementary and alternative medicine 181
Countries citing papers authored by Ming Hao
This map shows the geographic impact of Ming Hao'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 Ming Hao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Hao more than expected).
Fields of papers citing papers by Ming Hao
This network shows the impact of papers produced by Ming Hao. 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 Ming Hao. The network helps show where Ming Hao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Hao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | DAVID: a web server for functional enrichment analysis and functional annotation of gene lists (2021 update) Hit paper breakdown → | 2022 | 4047 |
| 2 | 2017 | 105 | |
| 3 | 2009 | 94 | |
| 4 | 2009 | 84 | |
| 5 | 2002 | 68 | |
| 6 | 2007 | 66 | |
| 7 | 2014 | 62 | |
| 8 | 2013 | 60 | |
| 9 | 2011 | 58 | |
| 10 | 2016 | 49 | |
| 11 | 2002 | 42 | |
| 12 | 2011 | 39 | |
| 13 | 1995 | 38 | |
| 14 | 2006 | 38 | |
| 15 | 2007 | 37 | |
| 16 | 2011 | 37 | |
| 17 | 2012 | 37 | |
| 18 | 2005 | 34 | |
| 19 | 2011 | 32 | |
| 20 | 2009 | 31 |
About Ming Hao
Ming Hao is a scholar working on Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Computer Graphics and Computer-Aided Design, Virology and Signal Processing, having authored 85 papers that have together received 5.6k indexed citations. Recurring topics across this work include Data Visualization and Analytics (51 papers), Computational Drug Discovery Methods (17 papers), Sentiment Analysis and Opinion Mining (4 papers), Computer Graphics and Visualization Techniques (4 papers), Big Data and Business Intelligence (3 papers), Time Series Analysis and Forecasting (3 papers), HIV Research and Treatment (3 papers) and Advanced Database Systems and Queries (3 papers). The work is most often cited by research in Computational Theory and Mathematics (641 citations), Computer Vision and Pattern Recognition (662 citations), Cancer Research (319 citations), Molecular Biology (1.4k citations) and Complementary and alternative medicine (181 citations). Ming Hao has collaborated with scholars based in United States, Germany and China. Frequent co-authors include Tomozumi Imamichi, Weizhong Chang, Henry Clifford Lane, Ju Qiu, Michael Baseler, Brad T. Sherman, Xiaoli Jiao, Daniel A. Keim, Umeshwar Dayal B and Stephen H. Bryant. Their work appears in journals such as Information Visualization, International Journal of Molecular Sciences, Viruses, Computer Graphics Forum and Analytica Chimica Acta.
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.