Jiti Gao

420 total papers · 4.0k total citations
175 papers, 2.4k citations indexed

About

Jiti Gao is a scholar working on Economics and Econometrics, Statistics and Probability and General Economics, Econometrics and Finance. According to data from OpenAlex, Jiti Gao has authored 175 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 82 papers in Economics and Econometrics, 80 papers in Statistics and Probability and 63 papers in General Economics, Econometrics and Finance. Recurrent topics in Jiti Gao's work include Statistical Methods and Inference (70 papers), Monetary Policy and Economic Impact (62 papers) and Financial Risk and Volatility Modeling (54 papers). Jiti Gao is often cited by papers focused on Statistical Methods and Inference (70 papers), Monetary Policy and Economic Impact (62 papers) and Financial Risk and Volatility Modeling (54 papers). Jiti Gao collaborates with scholars based in Australia, China and United Kingdom. Jiti Gao's co-authors include Hua Liang, Wolfgang Karl Härdle, Degui Li, Dag Tjøstheim, Chen Jia, Zudi Lu, Maxwell L. King, Peter C.B. Phillips, Song Xi Chen and Bin Peng and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Econometrics and Statistics in Medicine.

In The Last Decade

Jiti Gao

163 papers receiving 2.3k citations

Hit Papers

Partially Linear Models 2000 2026 2008 2017 2000 100 200 300 400 500

Author Peers

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

Author Last Decade Papers Cites
Jiti Gao 1.3k 877 777 535 277 175 2.4k
Zongwu Cai 1.7k 1.3× 1.0k 1.2× 933 1.2× 598 1.1× 441 1.6× 101 3.0k
Maxwell L. King 1.0k 0.8× 834 1.0× 675 0.9× 623 1.2× 179 0.6× 109 2.4k
Yanqin Fan 1.2k 0.9× 1.2k 1.3× 1.2k 1.5× 630 1.2× 259 0.9× 86 2.7k
Wei Biao Wu 1.6k 1.2× 709 0.8× 1.3k 1.6× 328 0.6× 518 1.9× 158 3.2k
Sangyeol Lee 1.2k 0.9× 604 0.7× 1.2k 1.6× 392 0.7× 185 0.7× 220 2.4k
Hira L. Koul 2.0k 1.5× 444 0.5× 1.1k 1.4× 280 0.5× 371 1.3× 114 2.6k
I. V. Basawa 1.2k 0.9× 363 0.4× 932 1.2× 321 0.6× 300 1.1× 89 2.0k
Liang Peng 1.2k 0.9× 744 0.8× 1.7k 2.2× 479 0.9× 217 0.8× 164 2.6k
Fabienne Comte 879 0.7× 750 0.9× 1.3k 1.7× 237 0.4× 297 1.1× 99 2.1k
Marie Hušková 1.3k 1.0× 394 0.4× 593 0.8× 254 0.5× 318 1.1× 110 2.0k

Countries citing papers authored by Jiti Gao

Since Specialization
Citations

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

Fields of papers citing papers by Jiti Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiti Gao

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

All Works

Loading papers...

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

Rankless by CCL
2026