Yan Jia
Impact in
-
- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Bioengineering top 2%
- Analytical Chemistry and Sensors
Papers in
-
- Topic Modeling 19
- Advanced Graph Neural Networks 14
-
- Advanced Chemical Sensor Technologies 55
- Co-authors
- Shukai Duan (34 shared papers)Lidan Wang (17 shared papers)Pengfei Jia (12 shared papers)Bin Zhou (24 shared papers)Songlin Zhang (3 shared papers)Chao Peng (3 shared papers)Yi Han (14 shared papers)Aiping Li (17 shared papers)
- Journals
- Sensors (14 papers)IEEE Sensors Journal (11 papers)Sensors and Actuators A Physical (5 papers)Sensors and Actuators B Chemical (5 papers)IEEE Transactions on Instrumentation and Measurement (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yan Jia
203 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 174
- Statistical and Nonlinear Physics 335
- Bioengineering 150
- Insect Science 310
- Artificial Intelligence 728
- Biomedical Engineering 818
Countries citing papers authored by Yan Jia
This map shows the geographic impact of Yan Jia'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 Yan Jia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Jia more than expected).
Fields of papers citing papers by Yan Jia
This network shows the impact of papers produced by Yan Jia. 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 Yan Jia. The network helps show where Yan Jia may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Jia, 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 226 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 242 | |
| 2 | 2017 | 76 | |
| 3 | 2012 | 74 | |
| 4 | 2016 | 70 | |
| 5 | 2022 | 64 | |
| 6 | 2020 | 60 | |
| 7 | 2009 | 58 | |
| 8 | 2018 | 51 | |
| 9 | 2019 | 50 | |
| 10 | 2020 | 39 | |
| 11 | 2011 | 38 | |
| 12 | 2021 | 37 | |
| 13 | 2012 | 36 | |
| 14 | 2009 | 30 | |
| 15 | 2020 | 29 | |
| 16 | 2021 | 28 | |
| 17 | 2017 | 28 | |
| 18 | 2016 | 27 | |
| 19 | 2017 | 27 | |
| 20 | 2021 | 26 |
About Yan Jia
Yan Jia is a scholar working on Artificial Intelligence, Biomedical Engineering, Information Systems, Electrical and Electronic Engineering and Statistical and Nonlinear Physics, having authored 226 papers that have together received 2.3k indexed citations. Recurring topics across this work include Advanced Chemical Sensor Technologies (55 papers), Complex Network Analysis Techniques (35 papers), Insect Pheromone Research and Control (27 papers), Gas Sensing Nanomaterials and Sensors (27 papers), Topic Modeling (19 papers), Web Data Mining and Analysis (16 papers), Advanced Graph Neural Networks (14 papers) and Opinion Dynamics and Social Influence (13 papers). The work is most often cited by research in Statistical and Nonlinear Physics (335 citations), Bioengineering (150 citations), Insect Science (310 citations), Artificial Intelligence (728 citations) and Biomedical Engineering (818 citations). Yan Jia has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Shukai Duan, Lidan Wang, Pengfei Jia, Bin Zhou, Songlin Zhang, Chao Peng, Yi Han, Aiping Li, Shudong Li and Weihong Han. Their work appears in journals such as Sensors, IEEE Sensors Journal, Sensors and Actuators A Physical, Sensors and Actuators B Chemical and IEEE Transactions on Instrumentation and Measurement.
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.