Ruhu Gao

11 total papers · 494 total citations
3 papers, 396 citations indexed

About

Ruhu Gao is a scholar working on Mechanical Engineering, Industrial and Manufacturing Engineering and Transportation. According to data from OpenAlex, Ruhu Gao has authored 3 papers receiving a total of 396 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Mechanical Engineering, 3 papers in Industrial and Manufacturing Engineering and 2 papers in Transportation. Recurrent topics in Ruhu Gao's work include Railway Systems and Energy Efficiency (3 papers), Railway Engineering and Dynamics (3 papers) and Transportation Planning and Optimization (2 papers). Ruhu Gao is often cited by papers focused on Railway Systems and Energy Efficiency (3 papers), Railway Engineering and Dynamics (3 papers) and Transportation Planning and Optimization (2 papers). Ruhu Gao collaborates with scholars based in China and United States. Ruhu Gao's co-authors include Huimin Niu, Xuesong Zhou and Zhipeng Huang and has published in prestigious journals such as Transportation Research Part C Emerging Technologies, Transportation Research Part B Methodological and Journal of Advanced Transportation.

In The Last Decade

Ruhu Gao

3 papers receiving 385 citations

Hit Papers

Train scheduling for mini... 2015 2026 2018 2022 2015 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ruhu Gao 346 336 164 82 74 3 396
Yihui Wang 275 0.8× 274 0.8× 152 0.9× 73 0.9× 59 0.8× 7 333
Jan-Willem Goossens 223 0.6× 196 0.6× 76 0.5× 57 0.7× 47 0.6× 8 371
L. Ingolotti 252 0.7× 371 1.1× 179 1.1× 21 0.3× 49 0.7× 9 415
Alessio D. Marra 295 0.9× 148 0.4× 82 0.5× 55 0.7× 57 0.8× 11 379
A. Lova 195 0.6× 312 0.9× 143 0.9× 15 0.2× 58 0.8× 7 364
Alicia De-Los-Santos 328 0.9× 173 0.5× 39 0.2× 124 1.5× 94 1.3× 12 416
Leonardo Lamorgese 226 0.7× 356 1.1× 180 1.1× 26 0.3× 24 0.3× 13 396
Gabrio Caimi 271 0.8× 361 1.1× 219 1.3× 42 0.5× 25 0.3× 11 395
Ramon Lentink 148 0.4× 270 0.8× 60 0.4× 50 0.6× 51 0.7× 11 333
IP Milroy 239 0.7× 362 1.1× 269 1.6× 82 1.0× 14 0.2× 7 394

Countries citing papers authored by Ruhu Gao

Since Specialization
Citations

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

Fields of papers citing papers by Ruhu Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruhu Gao

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

All Works

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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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