Liang Ding

641 total citations
43 papers, 359 citations indexed

About

Liang Ding is a scholar working on Finance, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Liang Ding has authored 43 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Finance, 20 papers in Economics and Econometrics and 14 papers in General Economics, Econometrics and Finance. Recurrent topics in Liang Ding's work include Monetary Policy and Economic Impact (11 papers), Financial Markets and Investment Strategies (11 papers) and Market Dynamics and Volatility (10 papers). Liang Ding is often cited by papers focused on Monetary Policy and Economic Impact (11 papers), Financial Markets and Investment Strategies (11 papers) and Market Dynamics and Volatility (10 papers). Liang Ding collaborates with scholars based in United States, China and Hong Kong. Liang Ding's co-authors include Xiaoling Pu, Jun Ma, Ruoming Jin, John Thornton, Haoruo Peng, L. Jeff Hong, Yan Lin, He Wang, Liming Cai and Russell L. Malmberg and has published in prestigious journals such as Nature Communications, Bioinformatics and PLoS ONE.

In The Last Decade

Liang Ding

39 papers receiving 338 citations

Peers

Countries citing papers authored by Liang Ding

Since Specialization

Citations

This map shows the geographic impact of Liang Ding'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 Liang Ding with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Liang Ding more than expected).

Fields of papers citing papers by Liang Ding

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Liang Ding. 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 Liang Ding. The network helps show where Liang Ding may publish in the future.

Co-authorship network of co-authors of Liang Ding

This figure shows the co-authorship network connecting the top 25 collaborators of Liang Ding. A scholar is included among the top collaborators of Liang Ding 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 Liang Ding. Liang Ding is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Can international railway express improve green total factor productivity? 2025 ·Humanities and Social Sciences Communications ·(unknown), Lingyu Zhang, Changlin Wan, (unknown), Liang Ding	1
2	NetBID2 provides comprehensive hidden driver analysis 2023 ·Nature Communications ·Xinran Dong, Liang Ding, Andrew Thrasher, Xinge Wang, Jingjing Liu, Qingfei Pan, (unknown), Yogesh Dhungana, Xu Yang, (unknown), Yuxin Li, Lei Yan, Michael Rusch, Clay McLeod, Koon‐Kiu Yan, Junmin Peng, Hongbo Chi, Jinghui Zhang, Jiyang Yu	10
3	HOW DOES ENVIRONMENTAL REGULATION AFFECT FIRM’S SHARE OF DOMESTIC VALUE-ADDED IN GROSS EXPORTS IN CHINA? 2023 ·The Singapore Economic Review ·Liang Ding, (unknown), (unknown), (unknown)	1
4	Incentive effect of tax preferences towards the technological innovation of enterprises——Based on China’s GEM listed companies 2023 ·PLoS ONE ·Liang Ding, (unknown), (unknown)	5
5	Top Management Team Heterogeneity and the Performance of Cross-Border M&A 2023 ·SAGE Open ·Yingna Wu, Liang Ding, Xuan Song, (unknown)	1
6	Technical note—Knowledge gradient for selection with covariates: Consistency and computation 2022 ·Rare & Special e-Zone (The Hong Kong University of Science and Technology) ·Liang Ding, L. Jeff Hong, (unknown), (unknown)	14
7	Sample and Computationally Efficient Stochastic Kriging in High Dimensions 2022 ·Operations Research ·Liang Ding, (unknown)	2
8	Conditional correlation between exchange rates and stock prices 2021 ·The Quarterly Review of Economics and Finance ·Liang Ding	19
9	Optimal Setting for Hurst Index Estimation and Its Application in Chinese Stock Market 2021 ·IEEE Access ·Liang Ding, (unknown), Yan Lin, (unknown)	3
10	Essays on the application of the market microstructure approach in exchange rate economics 2019 ·Carolina Digital Repository (University of North Carolina at Chapel Hill) ·Liang Ding	0
11	Evaluating parallel logistic regression models 2013 ·Haoruo Peng, Liang Ding, (unknown)	11
12	Portfolio reallocation and exchange rate dynamics 2013 ·Journal of Banking & Finance ·Liang Ding, Jun Ma	13
13	Exchange Rates and Oil Prices: A Multivariate Stochastic Volatility Analysis 2011 ·SSRN Electronic Journal ·(unknown), Liang Ding	5
14	Asymmetric correlations in equity returns: a fundamental-based explanation 2011 ·Applied Financial Economics ·Liang Ding, (unknown), (unknown)	16
15	The Forward Premium Puzzle Across Maturities 2010 ·Economics bulletin ·Liang Ding, (unknown)	0
16	Portfolio Reallocation and Exchange Rate Dynamics 2010 ·SSRN Electronic Journal ·Liang Ding, Jun Ma	3
17	The electronic trading systems and bid-ask spreads in the foreign exchange market 2010 ·Journal of International Financial Markets Institutions and Money ·Liang Ding, (unknown)	10
18	The Electronic Trading Systems and Bid-Ask Spreads in the Foreign Exchange Market 2009 ·SSRN Electronic Journal ·Liang Ding, (unknown)	1
19	Bid–ask spread and order size in the foreign exchange market: an empirical investigation 2008 ·International Journal of Finance & Economics ·Liang Ding	13
20	A New Parallel Gauss-Seidel Method by Iteration Space Alternate Tiling 2007 ·International Conference on Parallel Architectures and Compilation Techniques ·Changjun Hu, Jilin Zhang, Jue Wang, Jianjiang Li, Liang Ding	3

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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