Jinmeng Rao

1.7k total citations
33 papers, 1.0k citations indexed

About

Jinmeng Rao is a scholar working on Transportation, Epidemiology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Jinmeng Rao has authored 33 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Transportation, 10 papers in Epidemiology and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Jinmeng Rao's work include Data-Driven Disease Surveillance (9 papers), Human Mobility and Location-Based Analysis (8 papers) and COVID-19 epidemiological studies (4 papers). Jinmeng Rao is often cited by papers focused on Data-Driven Disease Surveillance (9 papers), Human Mobility and Location-Based Analysis (8 papers) and COVID-19 epidemiological studies (4 papers). Jinmeng Rao collaborates with scholars based in United States, China and Hong Kong. Jinmeng Rao's co-authors include Song Gao, Yuhao Kang, Yunlei Liang, Mingxiao Li, Fan Zhang, Carlo Ratti, Fábio Duarte, Qunying Huang, Xiangyuan Ma and Fu Ren and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Circulation and SHILAP Revista de lepidopterología.

In The Last Decade

Jinmeng Rao

31 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jinmeng Rao United States 16 426 317 241 201 173 33 1.0k
Yunlei Liang United States 12 333 0.8× 250 0.8× 180 0.7× 119 0.6× 93 0.5× 19 723
Jizhe Xia China 17 422 1.0× 163 0.5× 88 0.4× 92 0.5× 191 1.1× 55 1.1k
Takahiro Yabe United States 19 563 1.3× 148 0.5× 130 0.5× 104 0.5× 254 1.5× 56 1.3k
Hugo Barbosa United Kingdom 10 719 1.7× 108 0.3× 103 0.4× 66 0.3× 169 1.0× 24 1.1k
Lei Dong China 17 588 1.4× 85 0.3× 86 0.4× 171 0.9× 282 1.6× 36 1.1k
Xiaokang Fu China 13 152 0.4× 110 0.3× 88 0.4× 65 0.3× 134 0.8× 38 701
Zhenghong Peng China 16 257 0.6× 75 0.2× 50 0.2× 103 0.5× 211 1.2× 49 1.1k
Thomas Louail France 7 1.0k 2.4× 99 0.3× 166 0.7× 72 0.4× 270 1.6× 15 1.3k
Yeran Sun United Kingdom 22 645 1.5× 50 0.2× 59 0.2× 93 0.5× 301 1.7× 59 1.3k
Wei Zhai United States 15 300 0.7× 85 0.3× 50 0.2× 91 0.5× 232 1.3× 44 764

Countries citing papers authored by Jinmeng Rao

Since Specialization
Citations

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

Fields of papers citing papers by Jinmeng Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jinmeng Rao

This figure shows the co-authorship network connecting the top 25 collaborators of Jinmeng Rao. A scholar is included among the top collaborators of Jinmeng Rao 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 Jinmeng Rao. Jinmeng Rao 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.
Rao, Jinmeng, et al.. (2025). Knowing You Don't Know: Learning When to Continue Search in Multi-round RAG through Self-Practicing. arXiv (Cornell University). 1305–1315. 1 indexed citations
2.
Mai, Gengchen, Yiqun Xie, Xiaowei Jia, et al.. (2025). Towards the next generation of Geospatial Artificial Intelligence. International Journal of Applied Earth Observation and Geoinformation. 136. 104368–104368. 9 indexed citations
3.
Chen, Kezhen, et al.. (2025). MoLA: MoE LoRA with Layer-wise Expert Allocation. 5097–5112.
4.
Zhao, Shilin, Jinmeng Rao, Bríd M. Ryan, et al.. (2025). Genetic analysis in African ancestry populations reveals genetic contributors to lung cancer susceptibility. The American Journal of Human Genetics. 112(9). 2102–2114.
5.
Mai, Gengchen, Xiaobai Yao, Yiqun Xie, et al.. (2024). SRL: Towards a General-Purpose Framework for Spatial Representation Learning. 465–468. 3 indexed citations
6.
Rao, Jinmeng, et al.. (2024). IM-RAG: Multi-Round Retrieval-Augmented Generation Through Learning Inner Monologues. 730–740. 16 indexed citations
7.
Chen, Kezhen, et al.. (2024). Tackling Vision Language Tasks through Learning Inner Monologues. Proceedings of the AAAI Conference on Artificial Intelligence. 38(17). 19350–19358. 2 indexed citations
8.
Razi, Syed S., Jinmeng Rao, Gilberto Lopes, et al.. (2023). Disparities in Survival Due to Social Determinants of Health and Access to Treatment in US Patients With Operable Malignant Pleural Mesothelioma. JAMA Network Open. 6(3). e234261–e234261. 11 indexed citations
9.
Swaminathan, Swarup S., Alessandro A. Jammal, Jinmeng Rao, & Felipe A. Medeiros. (2023). Improved Prediction of Perimetric Loss in Glaucomatous Eyes Using Latent Class Mixed Modeling. Ophthalmology Glaucoma. 6(6). 642–650. 1 indexed citations
10.
Wang, Xiaoqi, Han‐Wei Shen, Jinmeng Rao, et al.. (2023). An Interactive Knowledge and Learning Environment in Smart Foodsheds. IEEE Computer Graphics and Applications. 43(3). 36–47. 5 indexed citations
11.
Dar, Tawseef, Sameer Hirji, Venkat Vuddanda, et al.. (2023). Predictors of outcomes in patients with obesity following mitral valve surgery. JTCVS Open. 15. 127–150. 3 indexed citations
12.
Swaminathan, Swarup S., Samuel I. Berchuck, Jinmeng Rao, & Felipe A. Medeiros. (2023). Performance of Linear Mixed Models in Estimating Structural Rates of Glaucoma Progression Using Varied Random Effect Distributions. SHILAP Revista de lepidopterología. 4(3). 100454–100454. 3 indexed citations
13.
Rao, Jinmeng, Song Gao, & Sijia Zhu. (2023). CATS: Conditional Adversarial Trajectory Synthesis for privacy-preserving trajectory data publication using deep learning approaches. International Journal of Geographical Information Systems. 37(12). 2538–2574. 19 indexed citations
14.
Wang, Yikang, Yuhao Kang, Bing Zhou, et al.. (2023). Choosing GIS graduate programs from afar: Chinese students' perspectives. Transactions in GIS. 27(2). 450–475. 1 indexed citations
15.
Kang, Yuhao, Song Gao, Ignavier Ng, et al.. (2022). STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity. International Journal of Geographical Information Systems. 36(8). 1518–1549. 15 indexed citations
16.
Hou, Xiao Hua, Song Gao, Qin Li, et al.. (2021). Intracounty modeling of COVID-19 infection with human mobility: Assessing spatial heterogeneity with business traffic, age, and race. Proceedings of the National Academy of Sciences. 118(24). 101 indexed citations
17.
Rao, Jinmeng, Song Gao, & Xiaojin Zhu. (2021). VTSV. 43–46. 7 indexed citations
18.
Gao, Song, et al.. (2020). Mapping County-Level Mobility Pattern Changes in the United States in Response to COVID-19. SSRN Electronic Journal. 42 indexed citations
19.
Kang, Yuhao, et al.. (2020). Multiscale dynamic human mobility flow dataset in the U.S. during the COVID-19 epidemic. Scientific Data. 7(1). 390–390. 170 indexed citations
20.
Stallings, Sarah, Digna R. Velez Edwards, Douglas Conway, et al.. (2020). Determinants of stage at diagnosis of HPV-related cancer including area deprivation and clinical factors. Journal of Public Health. 44(1). 18–27. 7 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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