Jiaying Wang
Impact in
- Insect Science top 10%
- Insect Pheromone Research and Control
- Environmental Engineering top 10%
Papers in
-
- Energy Load and Power Forecasting 4
- Electric Vehicles and Infrastructure 3
-
- Wind and Air Flow Studies 5
- Hydrological Forecasting Using AI 3
- Co-authors
- Qing‐Hao Meng (17 shared papers)Bing Luo (8 shared papers)Ming Zeng (9 shared papers)Hexiang Yan (13 shared papers)Kunlun Xin (12 shared papers)Tao Tao (9 shared papers)Liping Lu (1 shared paper)Weilin Yan (1 shared paper)
- Journals
- Review of Scientific Instruments (2 papers)IEEE Transactions on Instrumentation and Measurement (2 papers)Sensors (2 papers)Water Research (2 papers)Environmental Pollution (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Jiaying Wang
59 papers receiving 670 citations
Peers
Comparison fields: 5 of 114
- Insect Science 88
- Environmental Engineering 92
- Health, Toxicology and Mutagenesis 69
- Biomedical Engineering 166
- Pollution 43
Countries citing papers authored by Jiaying Wang
This map shows the geographic impact of Jiaying Wang'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 Jiaying Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiaying Wang more than expected).
Fields of papers citing papers by Jiaying Wang
This network shows the impact of papers produced by Jiaying Wang. 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 Jiaying Wang. The network helps show where Jiaying Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiaying Wang, 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 68 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 138 | |
| 2 | 2021 | 52 | |
| 3 | 2020 | 45 | |
| 4 | 2022 | 45 | |
| 5 | 2018 | 38 | |
| 6 | 2022 | 28 | |
| 7 | 2016 | 26 | |
| 8 | 2017 | 24 | |
| 9 | 2020 | 22 | |
| 10 | 2023 | 16 | |
| 11 | 2016 | 16 | |
| 12 | 2018 | 15 | |
| 13 | 2020 | 15 | |
| 14 | 2018 | 14 | |
| 15 | 2016 | 12 | |
| 16 | 2020 | 11 | |
| 17 | 2018 | 10 | |
| 18 | 2022 | 10 | |
| 19 | 2023 | 8 | |
| 20 | 2021 | 8 |
About Jiaying Wang
Jiaying Wang is a scholar working on Electrical and Electronic Engineering, Environmental Engineering, Insect Science, Biomedical Engineering and Civil and Structural Engineering, having authored 68 papers that have together received 685 indexed citations. Recurring topics across this work include Insect Pheromone Research and Control (13 papers), Water Systems and Optimization (9 papers), Advanced Chemical Sensor Technologies (7 papers), Neurobiology and Insect Physiology Research (6 papers), Wind and Air Flow Studies (5 papers), Energy Load and Power Forecasting (4 papers), Electric Vehicles and Infrastructure (3 papers) and Hydrological Forecasting Using AI (3 papers). The work is most often cited by research in Insect Science (88 citations), Environmental Engineering (92 citations), Health, Toxicology and Mutagenesis (69 citations), Biomedical Engineering (166 citations) and Pollution (43 citations). Jiaying Wang has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Qing‐Hao Meng, Bing Luo, Ming Zeng, Hexiang Yan, Kunlun Xin, Tao Tao, Liping Lu, Weilin Yan, Ming Guo and Liumeng Pan. Their work appears in journals such as Review of Scientific Instruments, IEEE Transactions on Instrumentation and Measurement, Sensors, Water Research and Environmental Pollution.
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.