Hongru Du

12.9k total citations · 2 hit papers
33 papers, 1.1k citations indexed

About

Hongru Du is a scholar working on Economics and Econometrics, Modeling and Simulation and Global and Planetary Change. According to data from OpenAlex, Hongru Du has authored 33 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Economics and Econometrics, 8 papers in Modeling and Simulation and 7 papers in Global and Planetary Change. Recurrent topics in Hongru Du's work include COVID-19 epidemiological studies (8 papers), Regional Economic and Spatial Analysis (5 papers) and Data-Driven Disease Surveillance (5 papers). Hongru Du is often cited by papers focused on COVID-19 epidemiological studies (8 papers), Regional Economic and Spatial Analysis (5 papers) and Data-Driven Disease Surveillance (5 papers). Hongru Du collaborates with scholars based in China, United States and Belgium. Hongru Du's co-authors include Lauren Gardner, Ensheng Dong, Hamada S. Badr, Maximilian Marshall, Marietta M. Squire, Li Xu, Xiaolei Zhang, Xiaolei Zhang, Yannan Zhao and Lu Zhang and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Hongru Du

30 papers receiving 1.1k citations

Hit Papers

Association between mobility patterns and COVID-19 transm... 2020 2026 2022 2024 2020 2022 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hongru Du China 13 482 315 230 220 180 33 1.1k
Hamada S. Badr United States 11 486 1.0× 222 0.7× 398 1.7× 157 0.7× 161 0.9× 30 1.0k
Wei Tu United States 13 298 0.6× 231 0.7× 249 1.1× 70 0.3× 56 0.3× 31 791
Álvaro Briz‐Redón Spain 12 291 0.6× 217 0.7× 307 1.3× 72 0.3× 105 0.6× 42 873
Liang Mao United States 27 250 0.5× 145 0.5× 228 1.0× 512 2.3× 190 1.1× 78 2.0k
Andrew Hultgren United States 4 583 1.2× 482 1.5× 136 0.6× 48 0.2× 102 0.6× 4 1.3k
Bin Meng China 16 184 0.4× 190 0.6× 221 1.0× 215 1.0× 82 0.5× 46 988
Behzad Vahedi United States 6 409 0.8× 252 0.8× 152 0.7× 76 0.3× 177 1.0× 9 698
Siqin Wang Australia 18 189 0.4× 159 0.5× 309 1.3× 375 1.7× 129 0.7× 104 1.4k
Songhua Hu United States 18 371 0.8× 147 0.5× 129 0.6× 836 3.8× 134 0.7× 43 1.4k

Countries citing papers authored by Hongru Du

Since Specialization
Citations

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

Fields of papers citing papers by Hongru Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hongru Du

This figure shows the co-authorship network connecting the top 25 collaborators of Hongru Du. A scholar is included among the top collaborators of Hongru Du 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 Hongru Du. Hongru Du 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.
Du, Hongru, et al.. (2025). A multi-city COVID-19 forecasting model utilizing wastewater-based epidemiology. The Science of The Total Environment. 960. 178172–178172. 1 indexed citations
3.
Du, Hongru, Matthew Zahn, Shaun Truelove, et al.. (2025). Improving policy design and epidemic response using integrated models of economic choice and disease dynamics with behavioral feedback. PLoS Computational Biology. 21(10). e1013549–e1013549.
4.
Du, Hongru, Zhao Yang, Jianan Zhao, et al.. (2025). Advancing real-time infectious disease forecasting using large language models. Nature Computational Science. 5(6). 467–480. 5 indexed citations
5.
Du, Hongru, et al.. (2024). Association between vaccination rates and COVID-19 health outcomes in the United States: a population-level statistical analysis. BMC Public Health. 24(1). 220–220. 5 indexed citations
6.
Hamilton, Alisa, Nodar Kipshidze, Gary Lin, et al.. (2024). Incorporating endogenous human behavior in models of COVID-19 transmission: A systematic scoping review. SHILAP Revista de lepidopterología. 4. 100179–100179. 6 indexed citations
7.
Badr, Hamada S., Benjamin F. Zaitchik, Gaige Hunter Kerr, et al.. (2023). Unified real-time environmental-epidemiological data for multiscale modeling of the COVID-19 pandemic. Scientific Data. 10(1). 367–367. 15 indexed citations
8.
Du, Hongru, Ensheng Dong, Hamada S. Badr, et al.. (2023). Incorporating variant frequencies data into short-term forecasting for COVID-19 cases and deaths in the USA: a deep learning approach. EBioMedicine. 89. 104482–104482. 14 indexed citations
9.
Dong, Ensheng, Jeremy Ratcliff, Aaron J. Katz, et al.. (2022). The Johns Hopkins University Center for Systems Science and Engineering COVID-19 Dashboard: data collection process, challenges faced, and lessons learned. The Lancet Infectious Diseases. 22(12). e370–e376. 131 indexed citations breakdown →
10.
Badr, Hamada S., Hongru Du, Maximilian Marshall, et al.. (2020). Association between mobility patterns and COVID-19 transmission in the USA: a mathematical modelling study. The Lancet Infectious Diseases. 20(11). 1247–1254. 577 indexed citations breakdown →
11.
Zhang, Lu, et al.. (2019). Robustness and Edge Addition Strategy of Air Transport Networks: A Case Study of “the Belt and Road”. IEEE Access. 7. 96470–96477. 7 indexed citations
12.
Zhang, Lu, Hongru Du, Yannan Zhao, Rongwei Wu, & Xiaolei Zhang. (2017). Urban networks among Chinese cities along "the Belt and Road": A case of web search activity in cyberspace. PLoS ONE. 12(12). e0188868–e0188868. 13 indexed citations
13.
Wang, Zheng, Gang Zeng, Shenghe Liu, et al.. (2016). Academic debates on Hu Huanyong population line. 35(5). 805–824. 25 indexed citations
14.
Wang, Changjian, Wang Fei, Xiaolei Zhang, & Hongru Du. (2014). Quantitative analysis of the economic growth influence on urbanization and ecological environment pressure in Xinjiang. 31(2). 206. 1 indexed citations
15.
Li, Xuemei, et al.. (2012). Spatial effect of mineral resources exploitation on urbanization: A case study of Tarim River Basin, Xinjiang, China. Chinese Geographical Science. 22(5). 590–601. 7 indexed citations
16.
Du, Hongru. (2011). Spatial distribution of the comprehensive level of urbanization and its driving factors in Tarim River Basin. Geographical Research. 2 indexed citations
17.
Li, Xuemei, et al.. (2011). Selection of leading industry and appraisal system of urban in arid area. Ganhanqu dili. 34(4). 693–699. 2 indexed citations
18.
Du, Hongru. (2011). Spatial Pattern Evolvement and Characteristics of the Economy in Xinjiang at the County Level. 4 indexed citations
19.
Zhang, Xiaolei, et al.. (2010). Spatial difference features and organization optimization of cities and towns in Tarim River Basin. Journal of Arid Land. 2(1). 33–42. 5 indexed citations
20.
Du, Hongru, Xiaolei Zhang, & Bin Wang. (2006). Co-adaptation between modern oasis urbanization and water resources exploitation: A case of Urumqi. Chinese Science Bulletin. 51(S1). 189–195. 4 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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