Hang Min

2.2k total citations · 1 hit paper
48 papers, 1.6k citations indexed

About

Hang Min is a scholar working on Molecular Biology, Ecology and Artificial Intelligence. According to data from OpenAlex, Hang Min has authored 48 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Ecology and 8 papers in Artificial Intelligence. Recurrent topics in Hang Min's work include Microbial Community Ecology and Physiology (6 papers), AI in cancer detection (6 papers) and Medical Image Segmentation Techniques (4 papers). Hang Min is often cited by papers focused on Microbial Community Ecology and Physiology (6 papers), AI in cancer detection (6 papers) and Medical Image Segmentation Techniques (4 papers). Hang Min collaborates with scholars based in China, Australia and Mali. Hang Min's co-authors include Jason Dowling, Phillip Chlap, Annette Haworth, Lois Holloway, Junhui Zhang, Zhenmei Lv, Weixiang Wu, Guo Chen, Mingming Jin and Qiancheng Luo and has published in prestigious journals such as Water Research, Journal of Hazardous Materials and Scientific Reports.

In The Last Decade

Hang Min

45 papers receiving 1.5k citations

Hit Papers

A review of medical image data augmentation techniques fo... 2021 2026 2022 2024 2021 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Hang Min China 16 427 310 271 261 199 48 1.6k
Su Yao China 26 1.2k 2.7× 339 1.1× 253 0.9× 140 0.5× 118 0.6× 122 2.5k
Zichen Zhang China 22 215 0.5× 91 0.3× 137 0.5× 100 0.4× 953 4.8× 72 2.8k
Zhigang Yao China 24 665 1.6× 95 0.3× 75 0.3× 87 0.3× 32 0.2× 107 1.7k
Wenzhe Wang China 23 365 0.9× 206 0.7× 177 0.7× 74 0.3× 136 0.7× 127 1.7k
Jianying Zhang China 17 203 0.5× 137 0.4× 112 0.4× 62 0.2× 54 0.3× 52 1.0k
Jidong Lang China 18 427 1.0× 72 0.2× 109 0.4× 84 0.3× 40 0.2× 38 1.5k
Ziyu Liu China 20 304 0.7× 94 0.3× 393 1.5× 50 0.2× 709 3.6× 135 2.1k
Shasha Yuan China 26 371 0.9× 31 0.1× 115 0.4× 370 1.4× 75 0.4× 99 2.0k
Xiyue Wang China 17 144 0.3× 418 1.3× 526 1.9× 84 0.3× 232 1.2× 84 1.3k
Yuanyuan Peng China 20 165 0.4× 178 0.6× 35 0.1× 261 1.0× 82 0.4× 89 1.4k

Countries citing papers authored by Hang Min

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
2.
Lye, R. John, et al.. (2024). Deep learning versus human assessors: forensic sex estimation from three-dimensional computed tomography scans. Scientific Reports. 14(1). 30136–30136. 3 indexed citations
3.
Chlap, Phillip, Hang Min, Jason Dowling, et al.. (2024). Uncertainty estimation using a 3D probabilistic U-Net for segmentation with small radiotherapy clinical trial datasets. Computerized Medical Imaging and Graphics. 116. 102403–102403. 4 indexed citations
4.
Min, Hang, et al.. (2023). End-to-end speaker identification research based on multi-scale SincNet and CGAN. Neural Computing and Applications. 35(30). 22209–22222. 2 indexed citations
5.
Nicolson, Aaron, et al.. (2021). Automated COVID-19 diagnosis and prognosis with medical imaging and who is publishing: a systematic review. Physical and Engineering Sciences in Medicine. 45(1). 13–29. 7 indexed citations
6.
Min, Hang, et al.. (2020). Automatic lesion detection, segmentation and characterization via 3D multiscale morphological sifting in breast MRI. Biomedical Physics & Engineering Express. 6(6). 65027–65027. 4 indexed citations
7.
Min, Hang, Shekhar S. Chandra, ‪Stuart Crozier‬, & Andrew P. Bradley. (2019). Multi-scale sifting for mammographic mass detection and segmentation. Biomedical Physics & Engineering Express. 5(2). 25022–25022. 9 indexed citations
8.
Chu, Jinghui, Hang Min, Li Liu, & Wei Lü. (2015). A novel computer aided breast mass detection scheme based on morphological enhancement and SLIC superpixel segmentation. Medical Physics. 42(7). 3859–3869. 30 indexed citations
9.
Ding, Xia, Wei‐Jun Yang, Hang Min, et al.. (2009). Isolation and characterization of a new strain of Methanothermobacter marburgensis DX01 from hot springs in China. Anaerobe. 16(1). 54–59. 8 indexed citations
10.
Liu, Ji, Hang Min, & Lidan Ye. (2008). The negative interaction between the degradation of phenanthrene and tricyclazole in medium, soil and soil/compost mixture. Biodegradation. 19(5). 695–703. 23 indexed citations
11.
Ding, Xia, Zhenmei Lv, Yang Zhao, Hang Min, & Wei‐Jun Yang. (2008). MTH1745, a protein disulfide isomerase-like protein from thermophilic archaea, Methanothermobacter thermoautotrophicum involving in stress response. Cell Stress and Chaperones. 13(2). 239–246. 15 indexed citations
12.
Yao, Xiaohua & Hang Min. (2006). Isolation, characterization and phylogenetic analysis of a bacterial strain capable of degrading acetamiprid.. PubMed. 18(1). 141–6. 18 indexed citations
13.
Min, Hang. (2005). Effects of Cd2+ on Microbial Populations in Submerged Paddy Soil. Journal of Agro-environmental Science. 1 indexed citations
14.
Chen, Zhongyun, et al.. (2005). Effect of heavy metal contamination on the population of sulfate-reducing bacteria and the sulfate-reducing activity in paddy rice soils. Plant Nutrition and Fertilizing Science. 11(3). 399–405. 3 indexed citations
15.
Xia, Ying, Hang Min, Zhenmei Lv, et al.. (2005). Isolation and characterization of phenanthrene-degrading Sphingomonas paucimobilis strain ZX4. Biodegradation. 16(5). 393–402. 37 indexed citations
16.
Min, Hang, et al.. (2004). Effects of pesticide-contamination on population and activity of sulfate-reducing bacteria in paddy rice soils. Acta Pedologica Sinica. 41(1). 97–102. 1 indexed citations
17.
Min, Hang. (2004). Isolation, identification and preliminary studies on the resistance gene detection of a Cd-resisting bacterium. Acta Scientiae Circumstantiae. 1 indexed citations
18.
Min, Hang. (2003). Effect of Cr~(3+) contamination on the population and the denitrification activity of denitrifying bacteria in paddy soils. Plant Nutrition and Fertilizing Science. 2 indexed citations
19.
Min, Hang, et al.. (2003). Isolation, identification and phylogenetic analysis of a heterotrophic nitrifier. 43(2). 156–161. 9 indexed citations
20.
Min, Hang. (1994). Derivative assay of bovine serum albumin microspheres loaded cisplat-inum for pulmonary targeting. Zhōnghuá yàoxué zázhì. 1 indexed citations

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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