Jiantao Jiao
- Artificial Intelligence top 5%
- Statistics and Probability top 2%
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 10%
- Electrical and Electronic Engineering
- Co-authors
- Tsachy WeissmanYanjun HanKartik VenkatBanghua ZhuLei ZhaoHaim H. PermuterYoung-Han KimMichael I. Jordan
- Topics
- Statistical Methods and Inference (16 papers)Machine Learning and Algorithms (11 papers)Distributed Sensor Networks and Detection Algorithms (9 papers)
- Journals
- IEEE Transactions on Information TheoryThe Annals of StatisticsJournal of Machine Learning Research
- Partner nations
- United StatesChinaIsrael
In The Last Decade
Jiantao Jiao
50 papers receiving 677 citations
Peers
Comparison fields: 5 of 100
- Artificial Intelligence 411
- Statistics and Probability 141
- Computer Networks and Communications 98
- Statistical and Nonlinear Physics 85
- Electrical and Electronic Engineering 76
Countries citing papers authored by Jiantao Jiao
This map shows the geographic impact of Jiantao Jiao'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 Jiantao Jiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiantao Jiao more than expected).
Fields of papers citing papers by Jiantao Jiao
This network shows the impact of papers produced by Jiantao Jiao. 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 Jiantao Jiao. The network helps show where Jiantao Jiao may publish in the future.
Co-authorship network of co-authors of Jiantao Jiao
This figure shows the co-authorship network connecting the top 25 collaborators of Jiantao Jiao. A scholar is included among the top collaborators of Jiantao Jiao 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 Jiantao Jiao. Jiantao Jiao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 39 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 1 | |
| 7 | 9 | |
| 8 | 7 | |
| 9 | Approximate Profile Maximum Likelihood | 8 |
| 10 | Theoretically Principled Trade-off between Robustness and Accuracy | 70 |
| 11 | The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal | 6 |
| 12 | 2 | |
| 13 | 9 | |
| 14 | 110 | |
| 15 | 14 | |
| 16 | Order-Optimal Estimation of Functionals of Discrete Distributions. | 2 |
| 17 | 18 | |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 41 |
About Jiantao Jiao
Jiantao Jiao is a scholar working on Statistics and Probability, Artificial Intelligence and Computer Networks and Communications, having authored 54 papers that have together received 711 indexed citations. Recurring topics across this work include Statistical Methods and Inference (16 papers), Machine Learning and Algorithms (11 papers) and Distributed Sensor Networks and Detection Algorithms (9 papers). The work is most often cited by research in Statistics and Probability (141 citations), Artificial Intelligence (411 citations) and Statistical and Nonlinear Physics (85 citations). Jiantao Jiao has collaborated with scholars based in United States, China and Israel. Frequent co-authors include Tsachy Weissman, Yanjun Han, Kartik Venkat, Banghua Zhu, Lei Zhao, Haim H. Permuter, Young-Han Kim, Michael I. Jordan, Laurent El Ghaoui and Yaodong Yu. Their work appears in journals such as IEEE Transactions on Information Theory, The Annals of Statistics and Journal of Machine Learning Research.
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.