Mingjing Tang
- Materials Chemistry
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Molecular Biology
- Building and Construction top 10%
- Co-authors
- Lin LiuLiang LiXiaomeng ZhangMing ZhengTong LiRui ZhuZifei MaZhiyu Chen
- Topics
- Chalcogenide Semiconductor Thin Films (6 papers)Advanced Thermoelectric Materials and Devices (6 papers)Software Engineering Research (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaApplied Physics LettersScientific Reports
- Partner nations
- ChinaVietnamNetherlands
In The Last Decade
Mingjing Tang
34 papers receiving 851 citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Materials Chemistry 296
- Artificial Intelligence 231
- Electrical and Electronic Engineering 228
- Molecular Biology 103
- Building and Construction 99
Countries citing papers authored by Mingjing Tang
This map shows the geographic impact of Mingjing Tang'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 Mingjing Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mingjing Tang more than expected).
Fields of papers citing papers by Mingjing Tang
This network shows the impact of papers produced by Mingjing Tang. 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 Mingjing Tang. The network helps show where Mingjing Tang may publish in the future.
Co-authorship network of co-authors of Mingjing Tang
This figure shows the co-authorship network connecting the top 25 collaborators of Mingjing Tang. A scholar is included among the top collaborators of Mingjing Tang 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 Mingjing Tang. Mingjing Tang 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 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 6 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 5 | |
| 11 | 2 | |
| 12 | 24 | |
| 13 | Graph Neural Networks and Their Current Applications in Bioinformaticsbreakdown → | 196 |
| 14 | 2 | |
| 15 | 114 | |
| 16 | 2 | |
| 17 | 19 | |
| 18 | 3 | |
| 19 | 24 | |
| 20 | Topological Optimization Design for the Upper Carriage of a Gun | 0 |
About Mingjing Tang
Mingjing Tang is a scholar working on Artificial Intelligence, Ceramics and Composites and Information Systems, having authored 37 papers that have together received 867 indexed citations. Recurring topics across this work include Chalcogenide Semiconductor Thin Films (6 papers), Advanced Thermoelectric Materials and Devices (6 papers) and Software Engineering Research (4 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (85 citations), Building and Construction (99 citations) and Artificial Intelligence (231 citations). Mingjing Tang has collaborated with scholars based in China, Vietnam and Netherlands. Frequent co-authors include Lin Liu, Liang Li, Xiaomeng Zhang, Ming Zheng, Tong Li, Rui Zhu, Zifei Ma, Zhiyu Chen, Ran Ang and Fujie Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Applied Physics Letters 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.