Jun Dong
Impact in
- Filtration and Separation top 10%
- Polymers and Plastics top 10%
- Conducting polymers and applications
Papers in
-
- Organic Electronics and Photovoltaics 5
- Co-authors
- Pengyu Bi (1 shared paper)Huiru Dong (1 shared paper)Zhitian Liu (4 shared papers)Xiang Gao (3 shared papers)Jing Wen (4 shared papers)Zhongbin Ye (1 shared paper)Wei‐Li Chen (1 shared paper)Ke Chen (1 shared paper)
- Journals
- Marine Drugs (2 papers)Sensors (2 papers)Organic & Biomolecular Chemistry (1 paper)Holzforschung (1 paper)IEEE Transactions on Reliability (1 paper)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jun Dong
31 papers receiving 536 citations
Peers
Comparison fields: 5 of 111
- Filtration and Separation 21
- Polymers and Plastics 120
- Analytical Chemistry 49
- Ocean Engineering 66
- Biotechnology 25
Countries citing papers authored by Jun Dong
This map shows the geographic impact of Jun Dong'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 Dong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Dong more than expected).
Fields of papers citing papers by Jun Dong
This network shows the impact of papers produced by Jun Dong. 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 Dong. The network helps show where Jun Dong may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Dong, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 80 | |
| 2 | 2012 | 64 | |
| 3 | 2009 | 56 | |
| 4 | 2018 | 30 | |
| 5 | 2011 | 29 | |
| 6 | 2022 | 26 | |
| 7 | 2018 | 24 | |
| 8 | 2018 | 23 | |
| 9 | 2023 | 21 | |
| 10 | 2016 | 20 | |
| 11 | 2018 | 17 | |
| 12 | 2020 | 16 | |
| 13 | 2020 | 16 | |
| 14 | 2021 | 16 | |
| 15 | 2024 | 15 | |
| 16 | 2020 | 13 | |
| 17 | 2019 | 13 | |
| 18 | 2017 | 12 | |
| 19 | 2018 | 10 | |
| 20 | 2023 | 10 |
About Jun Dong
Jun Dong is a scholar working on Electrical and Electronic Engineering, Materials Chemistry, Molecular Biology, Information Systems and Computer Vision and Pattern Recognition, having authored 33 papers that have together received 546 indexed citations. Recurring topics across this work include Organic Electronics and Photovoltaics (5 papers), Software Engineering Research (4 papers), Conducting polymers and applications (3 papers), Microbial Natural Products and Biosynthesis (3 papers), Robotics and Sensor-Based Localization (2 papers), Advanced Neural Network Applications (2 papers), Fungal Biology and Applications (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Filtration and Separation (21 citations), Polymers and Plastics (120 citations), Analytical Chemistry (49 citations), Ocean Engineering (66 citations) and Biotechnology (25 citations). Jun Dong has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Pengyu Bi, Huiru Dong, Zhitian Liu, Xiang Gao, Jing Wen, Zhongbin Ye, Wei‐Li Chen, Ke Chen, Xiaoping Qin and Ming Shao. Their work appears in journals such as Marine Drugs, Sensors, Organic & Biomolecular Chemistry, Holzforschung and IEEE Transactions on Reliability.
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.