Mingyang Jiang
- Molecular Biology
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computer Vision and Pattern Recognition
- Electrical and Electronic Engineering
- Co-authors
- Zhili PeiXiaojing FanYanchun LiangXiaoyue FengRenchu GuanYu XueZhongzhou YangJingqing Jiang
- Topics
- Metabolomics and Mass Spectrometry Studies (8 papers)Nanoplatforms for cancer theranostics (6 papers)Advanced Nanomaterials in Catalysis (5 papers)
In The Last Decade
Mingyang Jiang
52 papers receiving 579 citations
Peers
Comparison fields: 5 of 127
- Molecular Biology 204
- Artificial Intelligence 138
- Information Systems 65
- Computer Vision and Pattern Recognition 56
- Electrical and Electronic Engineering 40
Countries citing papers authored by Mingyang Jiang
This map shows the geographic impact of Mingyang Jiang'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 Mingyang Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingyang Jiang more than expected).
Fields of papers citing papers by Mingyang Jiang
This network shows the impact of papers produced by Mingyang Jiang. 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 Mingyang Jiang. The network helps show where Mingyang Jiang may publish in the future.
Co-authorship network of co-authors of Mingyang Jiang
This figure shows the co-authorship network connecting the top 25 collaborators of Mingyang Jiang. A scholar is included among the top collaborators of Mingyang Jiang 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 Mingyang Jiang. Mingyang Jiang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 5 | |
| 12 | 14 | |
| 13 | 11 | |
| 14 | 0 | |
| 15 | 0 | |
| 16 | 6 | |
| 17 | 42 | |
| 18 | 12 | |
| 19 | Robot Path Planning Method Based on Improved Genetic Algorithm | 6 |
| 20 | Active cooperation-aware spectrum resource allocation in cognitive radio network | 2 |
About Mingyang Jiang
Mingyang Jiang is a scholar working on Complementary and alternative medicine, Molecular Biology and Computer Vision and Pattern Recognition, having authored 61 papers that have together received 587 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (8 papers), Nanoplatforms for cancer theranostics (6 papers) and Advanced Nanomaterials in Catalysis (5 papers). The work is most often cited by research in Artificial Intelligence (138 citations), Molecular Biology (204 citations) and Information Systems (65 citations). Mingyang Jiang has collaborated with scholars based in China, Singapore and Spain. Frequent co-authors include Zhili Pei, Xiaojing Fan, Yanchun Liang, Xiaoyue Feng, Renchu Guan, Yu Xue, Zhongzhou Yang, Jingqing Jiang, Xinyi Huang and Zhifeng Zhang. Their work appears in journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.
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.