Tiejun Ma
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Finance top 5%
- Financial Markets and Investment Strategies
Papers in
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- Complex Systems and Time Series Analysis 5
- Sports Analytics and Performance 4
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- Stock Market Forecasting Methods 6
- Co-authors
- Ming‐Chien Sung (14 shared papers)J.E.V. Johnson (12 shared papers)Stefan Lessmann (3 shared papers)Ming‐Wei Hsu (1 shared paper)Frank McGroarty (3 shared papers)Yaodong Yang (1 shared paper)Jane Hillston (4 shared papers)Jinpeng Huai (1 shared paper)
- Journals
- European Journal of Operational Research (8 papers)Expert Systems with Applications (2 papers)IEEE Transactions on Dependable and Secure Computing (2 papers)Risk Analysis (1 paper)International Journal of Forecasting (1 paper)
- Partner nations
- United KingdomChinaGermany
In The Last Decade
Tiejun Ma
32 papers receiving 480 citations
Peers
Comparison fields: 5 of 84
- Management Science and Operations Research 206
- Finance 99
- General Decision Sciences 11
- Economics and Econometrics 138
- Accounting 45
Countries citing papers authored by Tiejun Ma
This map shows the geographic impact of Tiejun Ma'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 Tiejun Ma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tiejun Ma more than expected).
Fields of papers citing papers by Tiejun Ma
This network shows the impact of papers produced by Tiejun Ma. 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 Tiejun Ma. The network helps show where Tiejun Ma may publish in the future.
Co-authors
The 25 scholars most cited alongside Tiejun Ma, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 140 | |
| 2 | 2019 | 87 | |
| 3 | 2019 | 56 | |
| 4 | 2017 | 42 | |
| 5 | 2017 | 32 | |
| 6 | 2011 | 21 | |
| 7 | 2009 | 13 | |
| 8 | 2016 | 11 | |
| 9 | 2011 | 9 | |
| 10 | 2023 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2009 | 7 | |
| 13 | 2019 | 6 | |
| 14 | 2022 | 6 | |
| 15 | 2007 | 6 | |
| 16 | 2010 | 6 | |
| 17 | 2022 | 5 | |
| 18 | Natural And Induced Fracture Classification Using Image Analysis | 1993 | 5 |
| 19 | 2024 | 4 | |
| 20 | 2022 | 4 |
About Tiejun Ma
Tiejun Ma is a scholar working on Economics and Econometrics, Management Science and Operations Research, Computer Networks and Communications, Finance and Artificial Intelligence, having authored 37 papers that have together received 495 indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (9 papers), Stock Market Forecasting Methods (6 papers), Complex Systems and Time Series Analysis (5 papers), Distributed systems and fault tolerance (5 papers), Sports Analytics and Performance (4 papers), Distributed and Parallel Computing Systems (4 papers), Software System Performance and Reliability (4 papers) and Decision-Making and Behavioral Economics (3 papers). The work is most often cited by research in Management Science and Operations Research (206 citations), Finance (99 citations), General Decision Sciences (11 citations), Economics and Econometrics (138 citations) and Accounting (45 citations). Tiejun Ma has collaborated with scholars based in United Kingdom, China and Germany. Frequent co-authors include Ming‐Chien Sung, J.E.V. Johnson, Stefan Lessmann, Ming‐Wei Hsu, Frank McGroarty, Yaodong Yang, Jane Hillston, Jinpeng Huai, Charų C. Aggarwal and Shuai Ma. Their work appears in journals such as European Journal of Operational Research, Expert Systems with Applications, IEEE Transactions on Dependable and Secure Computing, Risk Analysis and International Journal of Forecasting.
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.