Jun Tie
Impact in
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- Smart Agriculture and AI
- Date Palm Research Studies
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- Spectroscopy and Chemometric Analyses
Papers in
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- Magneto-Optical Properties and Applications 4
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- MXene and MAX Phase Materials 3
- 2D Materials and Applications 2
- Corrosion Behavior and Inhibition 2
- Co-authors
- Chong Sun (3 shared papers)Xiantao Cai (2 shared papers)Yong Ai (2 shared papers)Shengzhou Xu (1 shared paper)Kai You Wang (1 shared paper)Lingjie Duan (1 shared paper)Xiao Zhang (1 shared paper)Jing Lü (4 shared papers)
- Journals
- Metals (1 paper)Hepatology International (1 paper)Chemical Physics Letters (1 paper)Metallurgical and Materials Transactions B (1 paper)Frontiers in Neuroinformatics (1 paper)
- Partner nations
- ChinaBelgiumUnited Kingdom
In The Last Decade
Jun Tie
24 papers receiving 387 citations
Peers
Comparison fields: 5 of 83
- Plant Science 106
- Analytical Chemistry 25
- Aerospace Engineering 57
- Computer Vision and Pattern Recognition 48
- Electrical and Electronic Engineering 98
Countries citing papers authored by Jun Tie
This map shows the geographic impact of Jun Tie'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 Jun Tie with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Tie more than expected).
Fields of papers citing papers by Jun Tie
This network shows the impact of papers produced by Jun Tie. 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 Jun Tie. The network helps show where Jun Tie may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Tie, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 114 | |
| 2 | 2022 | 71 | |
| 3 | 2021 | 58 | |
| 4 | 2017 | 56 | |
| 5 | 2020 | 22 | |
| 6 | 2015 | 16 | |
| 7 | 2018 | 14 | |
| 8 | 2020 | 11 | |
| 9 | 2016 | 6 | |
| 10 | 2016 | 5 | |
| 11 | 2011 | 4 | |
| 12 | 2010 | 4 | |
| 13 | 2022 | 4 | |
| 14 | 2016 | 2 | |
| 15 | 2011 | 2 | |
| 16 | 2011 | 1 | |
| 17 | 2015 | 1 | |
| 18 | A New Approach to Establishing Cathode Rod Temperature-current Model Based on Nickel Electrolysis Cells | 2014 | 1 |
| 19 | 2023 | 1 | |
| 20 | 2021 | 1 |
About Jun Tie
Jun Tie is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Metals and Alloys, Computer Vision and Pattern Recognition and Fluid Flow and Transfer Processes, having authored 32 papers that have together received 398 indexed citations. Recurring topics across this work include Magneto-Optical Properties and Applications (4 papers), MXene and MAX Phase Materials (3 papers), Topology Optimization in Engineering (2 papers), Spectroscopy and Chemometric Analyses (2 papers), Hydrogen embrittlement and corrosion behaviors in metals (2 papers), 2D Materials and Applications (2 papers), Molten salt chemistry and electrochemical processes (2 papers) and Corrosion Behavior and Inhibition (2 papers). The work is most often cited by research in Plant Science (106 citations), Analytical Chemistry (25 citations), Aerospace Engineering (57 citations), Computer Vision and Pattern Recognition (48 citations) and Electrical and Electronic Engineering (98 citations). Jun Tie has collaborated with scholars based in China, Belgium and United Kingdom. Frequent co-authors include Chong Sun, Xiantao Cai, Yong Ai, Shengzhou Xu, Kai You Wang, Lingjie Duan, Xiao Zhang, Jing Lü, Hong Li and Zhifang Zhang. Their work appears in journals such as Metals, Hepatology International, Chemical Physics Letters, Metallurgical and Materials Transactions B and Frontiers in Neuroinformatics.
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.