Wen Long
Impact in
-
- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Finance top 5%
- Financial Markets and Investment Strategies
Papers in
-
- Complex Systems and Time Series Analysis 17
- Market Dynamics and Volatility 9
-
- Stock Market Forecasting Methods 23
- Co-authors
- Ling-Xiao Cui (7 shared papers)Qing‐Feng Sun (5 shared papers)Jian Wang (1 shared paper)Hong Guo (1 shared paper)Yong Shi (6 shared papers)Zhuhua Tan (1 shared paper)Hu Luo (1 shared paper)Xu Han (1 shared paper)
- Journals
- Physica A Statistical Mechanics and its Applications (5 papers)Financial Innovation (2 papers)Physical Review B (2 papers)International Review of Financial Analysis (2 papers)Applied Physics Letters (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Wen Long
66 papers receiving 1.1k citations
Wen Long's Hit Papers
Peers
Comparison fields: 5 of 109
- Management Science and Operations Research 402
- Finance 196
- Economics and Econometrics 256
- Atomic and Molecular Physics, and Optics 238
- Signal Processing 66
Countries citing papers authored by Wen Long
This map shows the geographic impact of Wen Long'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 Wen Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wen Long more than expected).
Fields of papers citing papers by Wen Long
This network shows the impact of papers produced by Wen Long. 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 Wen Long. The network helps show where Wen Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Wen Long, 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 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Deep learning-based feature engineering for stock price movement prediction Hit paper breakdown → | 2018 | 320 |
| 2 | 2008 | 143 | |
| 3 | 2003 | 60 | |
| 4 | 2012 | 60 | |
| 5 | 2018 | 30 | |
| 6 | 2011 | 30 | |
| 7 | 2019 | 30 | |
| 8 | 2016 | 29 | |
| 9 | 2020 | 26 | |
| 10 | 2020 | 24 | |
| 11 | 2021 | 22 | |
| 12 | 2018 | 22 | |
| 13 | 2014 | 22 | |
| 14 | 2017 | 21 | |
| 15 | 2019 | 20 | |
| 16 | 2016 | 20 | |
| 17 | 2022 | 19 | |
| 18 | 2011 | 18 | |
| 19 | 2015 | 16 | |
| 20 | 2021 | 15 |
About Wen Long
Wen Long is a scholar working on Economics and Econometrics, Management Science and Operations Research, Finance, Artificial Intelligence and Electrical and Electronic Engineering, having authored 73 papers that have together received 1.2k indexed citations. Recurring topics across this work include Stock Market Forecasting Methods (23 papers), Complex Systems and Time Series Analysis (17 papers), Financial Risk and Volatility Modeling (10 papers), Market Dynamics and Volatility (9 papers), Financial Markets and Investment Strategies (8 papers), Quantum and electron transport phenomena (6 papers), Industrial Technology and Control Systems (5 papers) and Topological Materials and Phenomena (4 papers). The work is most often cited by research in Management Science and Operations Research (402 citations), Finance (196 citations), Economics and Econometrics (256 citations), Atomic and Molecular Physics, and Optics (238 citations) and Signal Processing (66 citations). Wen Long has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Ling-Xiao Cui, Qing‐Feng Sun, Jian Wang, Hong Guo, Yong Shi, Zhuhua Tan, Hu Luo, Jian Wang, Xu Han and Wei Dai. Their work appears in journals such as Physica A Statistical Mechanics and its Applications, Financial Innovation, Physical Review B, International Review of Financial Analysis and Applied Physics Letters.
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.