Dan Ma

965 total citations · 1 hit paper
9 papers, 694 citations indexed

About

Dan Ma is a scholar working on Economics and Econometrics, Strategy and Management and Marketing. According to data from OpenAlex, Dan Ma has authored 9 papers receiving a total of 694 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Economics and Econometrics, 2 papers in Strategy and Management and 2 papers in Marketing. Recurrent topics in Dan Ma's work include Energy, Environment, Economic Growth (7 papers), Environmental Impact and Sustainability (2 papers) and Energy, Environment, and Transportation Policies (2 papers). Dan Ma is often cited by papers focused on Energy, Environment, Economic Growth (7 papers), Environmental Impact and Sustainability (2 papers) and Energy, Environment, and Transportation Policies (2 papers). Dan Ma collaborates with scholars based in China. Dan Ma's co-authors include Xin He, Xuemei Jiang, Bing Xu, Chien‐Chiang Lee, Xinyang Zhang, Chuan Zhang, Jin Ouyang, Xiaobin Tang, Qian He and Yanli Yang and has published in prestigious journals such as Carbon, Journal of Business Research and Energy Economics.

In The Last Decade

Dan Ma

9 papers receiving 681 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Innovation in emerging economies: Research on the digital economy driving high-quality green development

2022 594 citations Dan Ma et al. Journal of Business Research profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Dan Ma China	4	539	137	135	109	86	9	694
Wenrong Pan China	3	571 1.1×	86 0.6×	135 1.0×	108 1.0×	106 1.2×	5	751
Shiyue Luo China	6	486 0.9×	170 1.2×	153 1.1×	99 0.9×	76 0.9×	10	678
Qiong Xu China	12	600 1.1×	163 1.2×	157 1.2×	189 1.7×	81 0.9×	20	802
Baoliu Liu China	18	709 1.3×	158 1.2×	147 1.1×	140 1.3×	86 1.0×	41	936
Yuhan Zhu China	11	584 1.1×	265 1.9×	252 1.9×	136 1.2×	49 0.6×	22	914
Tinghui Li China	16	531 1.0×	107 0.8×	89 0.7×	129 1.2×	54 0.6×	32	747
Fuhao Wang China	12	834 1.5×	111 0.8×	77 0.6×	275 2.5×	44 0.5×	16	1.0k
Zhou Jian-ping China	7	728 1.4×	93 0.7×	60 0.4×	247 2.3×	50 0.6×	9	855
Shaopeng Cao China	6	549 1.0×	162 1.2×	143 1.1×	147 1.3×	52 0.6×	11	691
Suling Feng China	10	902 1.7×	302 2.2×	225 1.7×	174 1.6×	71 0.8×	13	1.1k

Countries citing papers authored by Dan Ma

Since Specialization

Citations

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

Fields of papers citing papers by Dan Ma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Ma. A scholar is included among the top collaborators of Dan 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 Dan Ma. Dan 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:

9 of 9 papers shown

1.

He, Qian, et al.. (2025). Near-infrared carbon dots: Pioneering emerging frontiers in biomedical applications. Carbon. 235. 120045–120045. 1 indexed citations

2.

Ma, Dan, et al.. (2025). The impact of artificial intelligence on carbon emissions inequality: evidence from China cities. Applied Economics. 57(60). 10966–10981. 3 indexed citations

3.

Jiang, Xuemei, Jin Ouyang, Xinyang Zhang, & Dan Ma. (2024). The North-South industrial transfer of manufacturing and the pattern of carbon emissions in China. Structural Change and Economic Dynamics. 70. 516–529. 3 indexed citations

4.

Ma, Dan, et al.. (2023). Digital transformation and firms' pollution emissions. Technological Forecasting and Social Change. 197. 122910–122910. 47 indexed citations

5.

Lee, Chien‐Chiang, Chuan Zhang, & Dan Ma. (2023). Can the Social Network Hinder the Impact of COVID-19 on Economic Uncertainty? New Evidence from China. Emerging Markets Finance and Trade. 59(15). 4088–4106. 3 indexed citations

6.

Ma, Dan, et al.. (2023). Effects of digital global value chain participation on CO2 emissions embodied in digital exports: New evidence from PSTR approach. Energy Economics. 126. 106913–106913. 22 indexed citations

7.

Tang, Xiaobin, et al.. (2022). Stock Price Prediction Based on Natural Language Processing ¹. Complexity. 2022(1). 2 indexed citations

8.

Ma, Dan, et al.. (2022). Economic uncertainty spillover and social networks. Journal of Business Research. 145. 454–467. 19 indexed citations

9.

Ma, Dan, et al.. (2022). Innovation in emerging economies: Research on the digital economy driving high-quality green development. Journal of Business Research. 145. 801–813. 594 indexed citations breakdown →

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