Hang Min
- Molecular Biology
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Pollution top 5%
- Computer Vision and Pattern Recognition top 5%
- Co-authors
- Jason DowlingPhillip ChlapAnnette HaworthLois HollowayJunhui ZhangZhenmei LvWeixiang WuGuo Chen
- Topics
- Microbial Community Ecology and Physiology (6 papers)AI in cancer detection (6 papers)Medical Image Segmentation Techniques (4 papers)
In The Last Decade
Hang Min
45 papers receiving 1.5k citations
Hit Papers
Peers
Comparison fields: 5 of 159
- Molecular Biology 427
- Radiology, Nuclear Medicine and Imaging 310
- Artificial Intelligence 271
- Pollution 261
- Computer Vision and Pattern Recognition 199
Countries citing papers authored by Hang Min
This map shows the geographic impact of Hang Min'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 Hang Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Min more than expected).
Fields of papers citing papers by Hang Min
This network shows the impact of papers produced by Hang Min. 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 Hang Min. The network helps show where Hang Min may publish in the future.
Co-authorship network of co-authors of Hang Min
This figure shows the co-authorship network connecting the top 25 collaborators of Hang Min. A scholar is included among the top collaborators of Hang Min 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 Hang Min. Hang Min is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 4 | |
| 4 | 2 | |
| 5 | 7 | |
| 6 | 4 | |
| 7 | 9 | |
| 8 | 30 | |
| 9 | 8 | |
| 10 | 23 | |
| 11 | 15 | |
| 12 | Isolation, characterization and phylogenetic analysis of a bacterial strain capable of degrading acetamiprid. | 18 |
| 13 | Effects of Cd2+ on Microbial Populations in Submerged Paddy Soil | 1 |
| 14 | Effect of heavy metal contamination on the population of sulfate-reducing bacteria and the sulfate-reducing activity in paddy rice soils | 3 |
| 15 | 37 | |
| 16 | Effects of pesticide-contamination on population and activity of sulfate-reducing bacteria in paddy rice soils | 1 |
| 17 | Isolation, identification and preliminary studies on the resistance gene detection of a Cd-resisting bacterium | 1 |
| 18 | Effect of Cr~(3+) contamination on the population and the denitrification activity of denitrifying bacteria in paddy soils | 2 |
| 19 | Isolation, identification and phylogenetic analysis of a heterotrophic nitrifier | 9 |
| 20 | Derivative assay of bovine serum albumin microspheres loaded cisplat-inum for pulmonary targeting | 1 |
About Hang Min
Hang Min is a scholar working on Health Informatics, Pollution and Radiology, Nuclear Medicine and Imaging, having authored 48 papers that have together received 1.6k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (6 papers), AI in cancer detection (6 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Health Informatics (43 citations), Pollution (261 citations) and Radiology, Nuclear Medicine and Imaging (310 citations). Hang Min has collaborated with scholars based in China, Australia and Mali. Frequent co-authors include Jason Dowling, Phillip Chlap, Annette Haworth, Lois Holloway, Junhui Zhang, Zhenmei Lv, Weixiang Wu, Guo Chen, Mingming Jin and Qiancheng Luo. Their work appears in journals such as Water Research, Journal of Hazardous Materials and Scientific Reports.
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.