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, Shuai Ma, Charų C. Aggarwal and Jinpeng Huai 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

Peers

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

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Green credit policy, financing constraints, and total factor productivity of enterprises 2025 ·Finance research letters ·Tiejun Ma, Jinke Li	3
2	Revolutionizing graph classification generalization with an adaptive causality-enhanced framework 2025 ·Neurocomputing ·(unknown), Tiejun Ma, Liwen Xu	1
3	TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model 2025 ·Edinburgh Research Explorer (University of Edinburgh) ·(unknown), Yftah Ziser, (unknown), Shay B. Cohen, Tiejun Ma	1
4	Modeling News Interactions and Influence for Financial Market Prediction 2024 ·Edinburgh Research Explorer (University of Edinburgh) ·Mengyu Wang, Shay B. Cohen, Tiejun Ma	0
5	Parallel Byzantine Consensus Based on Hierarchical Architecture and Trusted Hardware 2024 ·IEEE Transactions on Dependable and Secure Computing ·Xiao Chen, Tiejun Ma, (unknown), Jane Hillston, (unknown)	4
6	An Innovative Electricity Price Forecasting Approach Using LightGBM Optimized by Tree-structured Parzen Estimator 2024 ·Xin Huang, Yuzhen Xu, (unknown), Tiejun Ma, Zheng Wang, Tao Jin	0
7	ParBFT: An Optimized Byzantine Consensus Parallelism Scheme 2023 ·IEEE Transactions on Computers ·Xiao Chen, (unknown), Tiejun Ma, Jane Hillston	7
8	Data-driven mixed-Integer linear programming-based optimisation for efficient failure detection in large-scale distributed systems 2022 ·European Journal of Operational Research ·(unknown), Tiejun Ma	4
9	Differential Effects of Device Modalities and Exposure to Online Reviews on Online Purchasing: A Field Study 2022 ·Journal of Advertising ·(unknown), Angeline Close Scheinbaum, Monika Kukar‐Kinney, Tiejun Ma, Ming‐Chien Sung, J.E.V. Johnson	6
10	Optimal scenario-dependent multivariate shortfall risk measure and its application in risk capital allocation 2022 ·European Journal of Operational Research ·(unknown), Huifu Xu, Tiejun Ma	5
11	Are the least successful traders those most likely to exit the market? A survival analysis contribution to the efficient market debate 2021 ·European Journal of Operational Research ·Tiejun Ma, (unknown), Ming‐Chien Sung, (unknown), J.E.V. Johnson	7
12	Optimal Scenario-Dependent Multivariate Shortfall Risk Measure and its Application in Capital Allocation 2021 ·SSRN Electronic Journal ·(unknown), Huifu Xu, Tiejun Ma	2
13	Can deep learning predict risky retail investors? A case study in financial risk behavior forecasting 2019 ·European Journal of Operational Research ·(unknown), Yaodong Yang, Stefan Lessmann, Tiejun Ma, Ming‐Chien Sung, J.E.V. Johnson	87
14	To what extent can new web-based technology improve forecasts? Assessing the economic value of information derived from Virtual Globes and its rate of diffusion in a financial market 2019 ·European Journal of Operational Research ·(unknown), Ming‐Chien Sung, Tiejun Ma, J.E.V. Johnson	6
15	Optimal asset allocation using a combination of implied and historical information 2019 ·International Review of Financial Analysis ·(unknown), José Olmo, Tiejun Ma, Ming‐Chien Sung, Frank McGroarty	2
16	An Ensemble Approach to Link Prediction 2017 ·IEEE Transactions on Knowledge and Data Engineering ·(unknown), Shuai Ma, Charų C. Aggarwal, Tiejun Ma, Jinpeng Huai	42
17	Bridging the divide in financial market forecasting: machine learners vs. financial economists 2016 ·Expert Systems with Applications ·Ming‐Wei Hsu, Stefan Lessmann, Ming‐Chien Sung, Tiejun Ma, J.E.V. Johnson	140
18	Adding Standards Based Job Submission to a Commodity Grid Broker 2010 ·D. Colling, A. Stephen McGough, Tiejun Ma, (unknown), (unknown), David Wallom, (unknown)	0
19	Shibboleth Access for Resources on the National Grid Service (SARoNGS) 2009 ·Research Explorer (The University of Manchester) ·Xiaodong Wang, Mike Jones, Jens Jensen, Andrew Richards, David Wallom, Tiejun Ma, Robert G. Frank, David Spence, Steven D. Young, (unknown), N. I. Geddes	7
20	Adding Standards Based Job Submission to a Commodity Grid Broker 2008 ·Oxford University Research Archive (ORA) (University of Oxford) ·D. Colling, A. Stephen McGough, (unknown), (unknown), Tiejun Ma, David Wallom, (unknown)	0

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.

Explore authors with similar magnitude of impact