Di Mo

1.9k total citations
38 papers, 1.4k citations indexed

About

Di Mo is a scholar working on Education, Safety Research and Economics and Econometrics. According to data from OpenAlex, Di Mo has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Education, 11 papers in Safety Research and 11 papers in Economics and Econometrics. Recurrent topics in Di Mo's work include Poverty, Education, and Child Welfare (11 papers), School Choice and Performance (11 papers) and Global Educational Reforms and Inequalities (10 papers). Di Mo is often cited by papers focused on Poverty, Education, and Child Welfare (11 papers), School Choice and Performance (11 papers) and Global Educational Reforms and Inequalities (10 papers). Di Mo collaborates with scholars based in China, United States and Belgium. Di Mo's co-authors include Sudharshan Reddy Paramati, Rakesh Gupta, Scott Rozelle, Ruixian Huang, Linxiu Zhang, Yaojiang Shi, Hongmei Yi, Renfu Luo, Yu Bai and Matthew Boswell and has published in prestigious journals such as PLoS ONE, Scientific Reports and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Di Mo

35 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Di Mo China 19 682 396 324 228 207 38 1.4k
Sylke V. Schnepf United Kingdom 19 261 0.4× 643 1.6× 145 0.4× 125 0.5× 594 2.9× 54 1.5k
Suzanne Duryea United States 17 925 1.4× 130 0.3× 77 0.2× 618 2.7× 735 3.6× 58 2.3k
Xinzheng Shi China 16 662 1.0× 107 0.3× 108 0.3× 81 0.4× 202 1.0× 46 1.3k
Esther Duflo United States 16 399 0.6× 204 0.5× 71 0.2× 289 1.3× 216 1.0× 32 1.1k
Francisco Gallego Chile 16 481 0.7× 210 0.5× 109 0.3× 98 0.4× 351 1.7× 64 1.3k
Jane Golley Australia 14 853 1.3× 38 0.1× 246 0.8× 50 0.2× 221 1.1× 50 1.4k
Stephen D. O’Connell United States 18 646 0.9× 95 0.2× 81 0.3× 75 0.3× 149 0.7× 60 1.2k
Esperanza Vera‐Toscano Spain 16 346 0.5× 130 0.3× 108 0.3× 41 0.2× 355 1.7× 45 1.1k
Mario Biggeri Italy 21 388 0.6× 200 0.5× 34 0.1× 358 1.6× 578 2.8× 89 1.7k

Countries citing papers authored by Di Mo

Since Specialization
Citations

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

Fields of papers citing papers by Di Mo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Di Mo

This figure shows the co-authorship network connecting the top 25 collaborators of Di Mo. A scholar is included among the top collaborators of Di Mo 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 Di Mo. Di Mo 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.
Tang, I.M., et al.. (2025). When green turns brown: Green premium revisited. Finance research letters. 86. 108298–108298. 1 indexed citations
3.
Wan, Xiaoqing, et al.. (2025). FS-CGNet: Frequency Spectral–Channel Fusion and Cross-Scale Global Aggregation Network for Hyperspectral Image Classification. IEEE Transactions on Geoscience and Remote Sensing. 63. 1–22.
4.
Wan, Xiaoqing, et al.. (2025). HLSK-CASMamba: hybrid large selective kernel and convolutional additive self-attention mamba for hyperspectral image classification. Journal of King Saud University - Computer and Information Sciences. 37(4).
5.
Fan, John Hua, et al.. (2021). The “necessary evil” in Chinese commodity markets. Journal of commodity markets. 25. 100186–100186. 8 indexed citations
6.
Paramati, Sudharshan Reddy, Di Mo, & Ruixian Huang. (2020). The role of financial deepening and green technology on carbon emissions: Evidence from major OECD economies. Finance research letters. 41. 101794–101794. 261 indexed citations
7.
Fan, John Hua, et al.. (2019). The ‘Necessary Evil’ in Chinese Commodity Markets. SSRN Electronic Journal. 1 indexed citations
8.
Gao, Qiufeng, et al.. (2018). Medical waste management in three areas of rural China. PLoS ONE. 13(7). e0200889–e0200889. 23 indexed citations
9.
Gao, Qiufeng, Huan Wang, Di Mo, et al.. (2018). Can reading programs improve reading skills and academic performance in rural China?. China Economic Review. 52. 111–125. 34 indexed citations
10.
Paramati, Sudharshan Reddy, Di Mo, & Rakesh Gupta. (2017). The effects of stock market growth and renewable energy use on CO2 emissions: Evidence from G20 countries. Energy Economics. 66. 360–371. 331 indexed citations
11.
Mo, Di, Rakesh Gupta, Bin Li, & Tarlok Singh. (2017). The Macroeconomic Determinants of Commodity Futures Volatility: The Evidence from Chinese and Indian Markets. SSRN Electronic Journal. 4 indexed citations
12.
Fafchamps, Marcel & Di Mo. (2017). Peer effects in computer assisted learning: evidence from a randomized experiment. Experimental Economics. 21(2). 355–382. 6 indexed citations
13.
Mo, Di, Chengchao Zhou, Alexis Medina, et al.. (2016). The gender gap among school children in poor rural areas of western China: evidence from a multi-province dataset. International Journal for Equity in Health. 15(1). 162–162. 18 indexed citations
14.
15.
Mo, Di & Rakesh Gupta. (2015). The Information Transmission between China and the US Agricultural Commodity Markets. SSRN Electronic Journal. 1 indexed citations
16.
Mo, Di, Linhai Zhang, Jiaqi Wang, et al.. (2015). Persistence of learning gains from computer assisted learning: Experimental evidence from China. Journal of Computer Assisted Learning. 31(6). 562–581. 12 indexed citations
17.
Mo, Di, Linxiu Zhang, Renfu Luo, et al.. (2014). Integrating computer-assisted learning into a regular curriculum: evidence from a randomised experiment in rural schools in Shaanxi. Journal of Development Effectiveness. 6(3). 300–323. 42 indexed citations
18.
Mo, Di, et al.. (2013). School Dropouts and Conditional Cash Transfers: Evidence from a Randomised Controlled Trial in Rural China's Junior High Schools. The Journal of Development Studies. 49(2). 190–207. 68 indexed citations
19.
Yi, Hongmei, et al.. (2013). Do poor students benefit from China's Merger Program? Transfer path and educational performance. Asia Pacific Journal of Education. 34(1). 15–35. 24 indexed citations
20.
Mo, Di, Jiejun Huang, Xiaojing Jia, et al.. (2012). Checking into China's cow hotels: Have policies following the milk scandal changed the structure of the dairy sector?. Journal of Dairy Science. 95(5). 2282–2298. 24 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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