Ming Bai
Impact in
- Paleontology top 1%
- Scarabaeidae Beetle Taxonomy and Biogeography
-
- Fossil Insects in Amber
- Coleoptera Taxonomy and Distribution
- Plant and animal studies
- Coleoptera: Cerambycidae studies
Papers in
-
- Coleoptera Taxonomy and Distribution 55
- Fossil Insects in Amber 50
- Plant and animal studies 17
- Coleoptera: Cerambycidae studies 14
- Paleontology 78
- Scarabaeidae Beetle Taxonomy and Biogeography 67
- Co-authors
- Xingke Yang (37 shared papers)Hongqi Li (5 shared papers)Jun Chen (3 shared papers)Rolf G. Beutel (11 shared papers)Lida Xing (10 shared papers)Dirk Ahrens (18 shared papers)Wangang Liu (14 shared papers)Dong Ren (19 shared papers)
- Journals
- Zootaxa (17 papers)ZooKeys (13 papers)Cretaceous Research (11 papers)Insects (9 papers)PLoS ONE (5 papers)
- Partner nations
- ChinaGermanyUnited States
In The Last Decade
Ming Bai
161 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 125
- Paleontology 792
- Ecology, Evolution, Behavior and Systematics 1.3k
- Industrial and Manufacturing Engineering 260
- Ecological Modeling 82
- Genetics 495
Countries citing papers authored by Ming Bai
This map shows the geographic impact of Ming Bai'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 Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Bai more than expected).
Fields of papers citing papers by Ming Bai
This network shows the impact of papers produced by Ming Bai. 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 Bai. The network helps show where Ming Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Bai, 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 178 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 119 | |
| 2 | 2021 | 111 | |
| 3 | 2013 | 94 | |
| 4 | 2016 | 88 | |
| 5 | 2016 | 81 | |
| 6 | 2016 | 65 | |
| 7 | 2017 | 65 | |
| 8 | 2017 | 63 | |
| 9 | 2022 | 63 | |
| 10 | 2019 | 62 | |
| 11 | 2020 | 56 | |
| 12 | 2020 | 41 | |
| 13 | 2016 | 41 | |
| 14 | 2018 | 41 | |
| 15 | 2011 | 39 | |
| 16 | 2018 | 38 | |
| 17 | 2014 | 38 | |
| 18 | 2012 | 37 | |
| 19 | 2018 | 37 | |
| 20 | 2018 | 36 |
About Ming Bai
Ming Bai is a scholar working on Ecology, Evolution, Behavior and Systematics, Paleontology, Plant Science, Genetics and Nature and Landscape Conservation, having authored 178 papers that have together received 2.5k indexed citations. Recurring topics across this work include Scarabaeidae Beetle Taxonomy and Biogeography (67 papers), Coleoptera Taxonomy and Distribution (55 papers), Fossil Insects in Amber (50 papers), Mediterranean and Iberian flora and fauna (18 papers), Ecology and Vegetation Dynamics Studies (17 papers), Plant and animal studies (17 papers), Coleoptera: Cerambycidae studies (14 papers) and Lepidoptera: Biology and Taxonomy (12 papers). The work is most often cited by research in Paleontology (792 citations), Ecology, Evolution, Behavior and Systematics (1.3k citations), Industrial and Manufacturing Engineering (260 citations), Ecological Modeling (82 citations) and Genetics (495 citations). Ming Bai has collaborated with scholars based in China, Germany and United States. Frequent co-authors include Xingke Yang, Hongqi Li, Jun Chen, Rolf G. Beutel, Lida Xing, Dirk Ahrens, Wangang Liu, Dong Ren, Ryan C. McKellar and Hai Zhang. Their work appears in journals such as Zootaxa, ZooKeys, Cretaceous Research, Insects and PLoS ONE.
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.