Jun Wang
Impact in
-
- Stock Market Forecasting Methods
- Economics and Econometrics top 0.5%
- Complex Systems and Time Series Analysis
- Market Dynamics and Volatility
Papers in
-
- Complex Systems and Time Series Analysis 85
-
- Stock Market Forecasting Methods 24
- Co-authors
- Hongli Niu (15 shared papers)Liyun Ma (7 shared papers)Aniruddha Balkrishna Patil (7 shared papers)Ronghui Wu (7 shared papers)Jie Wang (1 shared paper)Junhuan Zhang (4 shared papers)Yifan Zhang (4 shared papers)Zainab Zafar (1 shared paper)
- Journals
- Physica A Statistical Mechanics and its Applications (27 papers)Physical review. B. (9 papers)Nonlinear Dynamics (8 papers)Energy (8 papers)Physics Letters A (7 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Jun Wang
277 papers receiving 6.2k citations
Jun Wang's Hit Papers
Peers
Comparison fields: 5 of 175
- Management Science and Operations Research 859
- Economics and Econometrics 1.2k
- Biomedical Engineering 1k
- Bioengineering 48
- Finance 191
Countries citing papers authored by Jun Wang
This map shows the geographic impact of Jun 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 Jun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Wang more than expected).
Fields of papers citing papers by Jun Wang
This network shows the impact of papers produced by Jun 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 Jun Wang. The network helps show where Jun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun 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 302 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Wearable and flexible electrochemical sensors for sweat analysis: a review Hit paper breakdown → | 2022 | 558 |
| 2 | 2014 | 328 | |
| 3 | 2019 | 269 | |
| 4 | 2013 | 240 | |
| 5 | 2020 | 192 | |
| 6 | 2020 | 184 | |
| 7 | 2015 | 127 | |
| 8 | 2016 | 121 | |
| 9 | 2012 | 107 | |
| 10 | 2018 | 106 | |
| 11 | 2023 | 102 | |
| 12 | 2021 | 95 | |
| 13 | 2015 | 89 | |
| 14 | 2017 | 89 | |
| 15 | 2020 | 85 | |
| 16 | 2018 | 74 | |
| 17 | 2021 | 72 | |
| 18 | 2023 | 72 | |
| 19 | 2006 | 71 | |
| 20 | 2011 | 70 |
About Jun Wang
Jun Wang is a scholar working on Economics and Econometrics, Management Science and Operations Research, Atomic and Molecular Physics, and Optics, Condensed Matter Physics and Finance, having authored 302 papers that have together received 6.3k indexed citations. Recurring topics across this work include Complex Systems and Time Series Analysis (85 papers), Stock Market Forecasting Methods (24 papers), Topological Materials and Phenomena (23 papers), Heart Rate Variability and Autonomic Control (13 papers), Advanced Sensor and Energy Harvesting Materials (12 papers), Quantum and electron transport phenomena (12 papers), Physics of Superconductivity and Magnetism (11 papers) and Chaos control and synchronization (8 papers). The work is most often cited by research in Management Science and Operations Research (859 citations), Economics and Econometrics (1.2k citations), Biomedical Engineering (1k citations), Bioengineering (48 citations) and Finance (191 citations). Jun Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongli Niu, Liyun Ma, Aniruddha Balkrishna Patil, Ronghui Wu, Jie Wang, Junhuan Zhang, Yifan Zhang, Zainab Zafar, Ying Wang and Haiyan Nan. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Physical review. B., Nonlinear Dynamics, Energy and Physics Letters A.
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.