Ming Cong
Impact in
-
- Environmental Toxicology and Ecotoxicology
- Aquatic Science top 2%
- Aquaculture Nutrition and Growth
Papers in
-
- Environmental Toxicology and Ecotoxicology 20
-
- Metabolomics and Mass Spectrometry Studies 7
- Co-authors
- Jianmin Zhao (28 shared papers)Huifeng Wu (25 shared papers)Chenglong Ji (19 shared papers)Fei Li (19 shared papers)Liping You (6 shared papers)Huifeng Wu (8 shared papers)Lin‐Bao Zhang (8 shared papers)Ruiwen Cao (7 shared papers)
- Journals
- Fish & Shellfish Immunology (7 papers)Geocarto International (6 papers)Environmental Toxicology and Pharmacology (4 papers)Remote Sensing (4 papers)Environmental Pollution (3 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Ming Cong
72 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 122
- Health, Toxicology and Mutagenesis 425
- Aquatic Science 206
- Oceanography 268
- Immunology 312
- Global and Planetary Change 300
Countries citing papers authored by Ming Cong
This map shows the geographic impact of Ming Cong'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 Cong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Cong more than expected).
Fields of papers citing papers by Ming Cong
This network shows the impact of papers produced by Ming Cong. 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 Cong. The network helps show where Ming Cong may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Cong, 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 74 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 126 | |
| 2 | 2017 | 91 | |
| 3 | 2011 | 89 | |
| 4 | 2010 | 72 | |
| 5 | 2018 | 65 | |
| 6 | 2009 | 63 | |
| 7 | 2017 | 59 | |
| 8 | 2018 | 58 | |
| 9 | 2015 | 54 | |
| 10 | 2015 | 46 | |
| 11 | 2014 | 43 | |
| 12 | 2011 | 40 | |
| 13 | 2020 | 37 | |
| 14 | 2018 | 36 | |
| 15 | 2018 | 36 | |
| 16 | 2019 | 35 | |
| 17 | 2012 | 33 | |
| 18 | 2019 | 33 | |
| 19 | 2017 | 31 | |
| 20 | 2011 | 30 |
About Ming Cong
Ming Cong is a scholar working on Health, Toxicology and Mutagenesis, Molecular Biology, Media Technology, Immunology and Computer Vision and Pattern Recognition, having authored 74 papers that have together received 1.5k indexed citations. Recurring topics across this work include Environmental Toxicology and Ecotoxicology (20 papers), Aquaculture disease management and microbiota (13 papers), Remote-Sensing Image Classification (10 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Invertebrate Immune Response Mechanisms (7 papers), Advanced Image and Video Retrieval Techniques (6 papers), Antimicrobial Peptides and Activities (6 papers) and Remote Sensing and Land Use (5 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (425 citations), Aquatic Science (206 citations), Oceanography (268 citations), Immunology (312 citations) and Global and Planetary Change (300 citations). Ming Cong has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Jianmin Zhao, Huifeng Wu, Chenglong Ji, Fei Li, Liping You, Huifeng Wu, Lin‐Bao Zhang, Ruiwen Cao, Junbao Yu and Dinglong Yang. Their work appears in journals such as Fish & Shellfish Immunology, Geocarto International, Environmental Toxicology and Pharmacology, Remote Sensing and Environmental Pollution.
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.