Xin T. Tong

677 citations
40 papers · 379 indexed · h-index 12
Topics
Markov Chains and Monte Carlo Methods (11 papers)Meteorological Phenomena and Simulations (7 papers)Statistical Methods and Inference (6 papers)

In The Last Decade

Xin T. Tong

35 papers receiving 361 citations

Peers

Xin T. Tong
Comparison fields: 5 of 75
  • Atmospheric Science 120
  • Artificial Intelligence 99
  • Global and Planetary Change 88
  • Statistics and Probability 57
  • Statistical and Nonlinear Physics 57
Replace Alfredo Garbuno-Iñigo with:
Alfredo Garbuno-Iñigo United States
Daniel Sanz-Alonso United States
Noémi Petra United States
Robert K. Goodrich United States
Lassi Roininen Finland
A. M. Iaglom
Grace Chan Australia
Tyrus Berry United States
Sucharita Ghosh Switzerland
Naratip Santitissadeekorn United States
Xin T. Tong relative to Alfredo Garbuno-Iñigo United States Alfredo Garbuno-Iñigo's profile →
Citations per field
00.5×8.5×
Alfredo Garbuno-Iñigo · 1×
Citations per year

Countries citing papers authored by Xin T. Tong

Since Specialization
Citations

This map shows the geographic impact of Xin T. Tong'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 Xin T. Tong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xin T. Tong more than expected).

Fields of papers citing papers by Xin T. Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin T. Tong. 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 Xin T. Tong. The network helps show where Xin T. Tong may publish in the future.

Co-authorship network of co-authors of Xin T. Tong

This figure shows the co-authorship network connecting the top 25 collaborators of Xin T. Tong. A scholar is included among the top collaborators of Xin T. Tong 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 Xin T. Tong. Xin T. Tong 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
#WorkIndexed citations
1 0
2 0
3 0
4 0
5 14
6 5
7 6
8 11
9 1
10 10
11 11
12 10
13 4
14 12
15 9
16 4
17 12
18 39
19 1
20 4

About Xin T. Tong

Xin T. Tong is a scholar working on Statistics and Probability, Mathematical Physics and Statistics, Probability and Uncertainty, having authored 40 papers that have together received 379 indexed citations. Recurring topics across this work include Markov Chains and Monte Carlo Methods (11 papers), Meteorological Phenomena and Simulations (7 papers) and Statistical Methods and Inference (6 papers). The work is most often cited by research in Statistics and Probability (57 citations), Atmospheric Science (120 citations) and Statistics, Probability and Uncertainty (37 citations). Xin T. Tong has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Andrew J. Majda, Nan Chen, Matthias Morzfeld, David R. Kelly, Youssef Marzouk, Zhiyong Zhang, Ke‐Hai Yuan, Tiangang Cui, Ramon van Handel and Claudia Schillings. Their work appears in journals such as Journal of Computational Physics, Physics of Fluids and Psychological Methods.

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