Tiejun Ma

721 total citations
37 papers, 495 citations indexed

About

Tiejun Ma is a scholar working on Economics and Econometrics, Management Science and Operations Research and Computer Networks and Communications. According to data from OpenAlex, Tiejun Ma has authored 37 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Economics and Econometrics, 11 papers in Management Science and Operations Research and 10 papers in Computer Networks and Communications. Recurrent topics in Tiejun Ma's work include Financial Markets and Investment Strategies (9 papers), Stock Market Forecasting Methods (6 papers) and Distributed systems and fault tolerance (5 papers). Tiejun Ma is often cited by papers focused on Financial Markets and Investment Strategies (9 papers), Stock Market Forecasting Methods (6 papers) and Distributed systems and fault tolerance (5 papers). Tiejun Ma collaborates with scholars based in United Kingdom, China and Germany. Tiejun Ma's co-authors include Ming‐Chien Sung, J.E.V. Johnson, Stefan Lessmann, Ming‐Wei Hsu, Frank McGroarty, Yaodong Yang, Jane Hillston, Charų C. Aggarwal, Jinpeng Huai and Shuai Ma and has published in prestigious journals such as European Journal of Operational Research, Expert Systems with Applications and Neurocomputing.

In The Last Decade

Tiejun Ma

32 papers receiving 480 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Tiejun Ma 206 138 106 99 89 37 495
Matthew Dixon 156 0.8× 127 0.9× 91 0.9× 108 1.1× 51 0.6× 42 426
David Quintana 281 1.4× 130 0.9× 160 1.5× 97 1.0× 68 0.8× 41 558
Jinghua Tan 173 0.8× 92 0.7× 113 1.1× 63 0.6× 79 0.9× 33 346
Nuno Oliveira 291 1.4× 172 1.2× 251 2.4× 172 1.7× 67 0.8× 18 609
Haruna Isah 295 1.4× 92 0.7× 142 1.3× 83 0.8× 120 1.3× 14 541
Julien Velcin 233 1.1× 110 0.8× 214 2.0× 92 0.9× 55 0.6× 24 482
Woojin Chang 143 0.7× 399 2.9× 68 0.6× 184 1.9× 52 0.6× 55 686
Rua‐Huan Tsaih 188 0.9× 103 0.7× 225 2.1× 55 0.6× 52 0.6× 45 545
Carmine Ventre 287 1.4× 273 2.0× 51 0.5× 94 0.9× 21 0.2× 66 564

Countries citing papers authored by Tiejun Ma

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tiejun Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Tiejun Ma. A scholar is included among the top collaborators of Tiejun Ma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tiejun Ma. Tiejun Ma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ma, Tiejun & Jinke Li. (2025). Green credit policy, financing constraints, and total factor productivity of enterprises. Finance research letters. 85. 108060–108060. 3 indexed citations
2.
Ma, Tiejun, et al.. (2025). Revolutionizing graph classification generalization with an adaptive causality-enhanced framework. Neurocomputing. 631. 129716–129716. 1 indexed citations
3.
Ziser, Yftah, et al.. (2025). TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model. Edinburgh Research Explorer (University of Edinburgh). 707–718. 1 indexed citations
4.
Wang, Mengyu, Shay B. Cohen, & Tiejun Ma. (2024). Modeling News Interactions and Influence for Financial Market Prediction. Edinburgh Research Explorer (University of Edinburgh). 3302–3314.
5.
Chen, Xiao, et al.. (2024). Parallel Byzantine Consensus Based on Hierarchical Architecture and Trusted Hardware. IEEE Transactions on Dependable and Secure Computing. 21(6). 5493–5508. 4 indexed citations
7.
Chen, Xiao, et al.. (2023). ParBFT: An Optimized Byzantine Consensus Parallelism Scheme. IEEE Transactions on Computers. 72(12). 3354–3369. 7 indexed citations
8.
Ma, Tiejun, et al.. (2022). Data-driven mixed-Integer linear programming-based optimisation for efficient failure detection in large-scale distributed systems. European Journal of Operational Research. 303(1). 337–353. 4 indexed citations
9.
Scheinbaum, Angeline Close, et al.. (2022). Differential Effects of Device Modalities and Exposure to Online Reviews on Online Purchasing: A Field Study. Journal of Advertising. 51(4). 430–439. 6 indexed citations
10.
Xu, Huifu, et al.. (2022). Optimal scenario-dependent multivariate shortfall risk measure and its application in risk capital allocation. European Journal of Operational Research. 306(1). 322–347. 5 indexed citations
11.
Ma, Tiejun, et al.. (2021). Are the least successful traders those most likely to exit the market? A survival analysis contribution to the efficient market debate. European Journal of Operational Research. 299(1). 330–345. 7 indexed citations
12.
Sung, Ming‐Chien, et al.. (2021). Turning the heat on financial decisions: Examining the role temperature plays in the incidence of bias in a time-limited financial market. European Journal of Operational Research. 299(3). 1142–1157. 3 indexed citations
13.
Xu, Huifu, et al.. (2021). Optimal Scenario-Dependent Multivariate Shortfall Risk Measure and its Application in Capital Allocation. SSRN Electronic Journal. 2 indexed citations
14.
Yang, Yaodong, et al.. (2019). Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting. European Journal of Operational Research. 283(1). 217–234. 87 indexed citations
15.
16.
Hsu, Ming‐Wei, Stefan Lessmann, Ming‐Chien Sung, Tiejun Ma, & J.E.V. Johnson. (2016). Bridging the divide in financial market forecasting: machine learners vs. financial economists. Expert Systems with Applications. 61. 215–234. 140 indexed citations
17.
Colling, D., et al.. (2010). Adding Standards Based Job Submission to a Commodity Grid Broker. 1530–1535.
18.
Tarte, S, et al.. (2009). An Image Processing Portal and Web-Service for the Study of Ancient Documents. 9. 14–19. 1 indexed citations
19.
Colling, D., et al.. (2008). Adding Standards Based Job Submission to a Commodity Grid Broker. Oxford University Research Archive (ORA) (University of Oxford). 380–381.
20.
Ma, Tiejun, Jane Hillston, & Stuart Anderson. (2007). Evaluation of the QoS of crash-recovery failure detection. ePrints Soton (University of Southampton). 538–542. 6 indexed citations

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.

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