This map shows the geographic impact of Jin Tian'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 Jin Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Tian more than expected).
This network shows the impact of papers produced by Jin Tian. 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 Jin Tian. The network helps show where Jin Tian may publish in the future.
Co-authorship network of co-authors of Jin Tian
This figure shows the co-authorship network connecting the top 25 collaborators of Jin Tian.
A scholar is included among the top collaborators of Jin Tian 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 Jin Tian. Jin Tian 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.
Tian, Jin, et al.. (2021). Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning. International Conference on Machine Learning. 5168–5179.2 indexed citations
Tian, Jin, et al.. (2019). Adjustment Criteria for Generalizing Experimental Findings. International Conference on Machine Learning. 1361–1369.3 indexed citations
6.
Tian, Jin, et al.. (2016). Structure learning in Bayesian networks of a moderate size by efficient sampling. Journal of Machine Learning Research. 17(1). 3483–3536.1 indexed citations
González-Brenes, José P., et al.. (2016). Joint Discovery of Skill Prerequisite Graphs and Student Models.. Educational Data Mining. 46–53.24 indexed citations
9.
Tian, Jin. (2014). Degree Correlation of Urban Street Networks. Wuhan Daxue xuebao. Xinxi kexue ban.1 indexed citations
10.
Tian, Jin. (2014). Formalization and New Algorithm of stroke Generation in Road Networks. Wuhan Daxue xuebao. Xinxi kexue ban.2 indexed citations
11.
Tian, Jin. (2014). A New Typification Method for Ditches with Almost Parallel Distribution. Wuhan Daxue xuebao. Xinxi kexue ban.1 indexed citations
12.
Tian, Jin. (2013). A New Method for Identifying Radial Pattern in Vector Road Networks. Wuhan Daxue xuebao. Xinxi kexue ban.1 indexed citations
13.
Tian, Jin. (2008). The Effect of the Position and Content-relative on Web-ads:An Eye Movement Study.2 indexed citations
14.
Tian, Jin. (2008). A Two-Stage Fault Detection Structure for JIDS/SINS/GPS Integrated Navigation System.1 indexed citations
15.
Tian, Jin. (2007). A criterion for parameter identification in structural equation models. Uncertainty in Artificial Intelligence. 392–399.4 indexed citations
16.
Kang, Changsung & Jin Tian. (2006). A Hybrid Generative/Discriminative Bayesian Classifier.. The Florida AI Research Society. 562–567.11 indexed citations
17.
Tian, Jin. (2005). Generating Markov equivalent maximal ancestral graphs by single edge replacement. arXiv (Cornell University). 591–598.3 indexed citations
Tian, Jin. (2000). A Branch-and-Bound Algorithm for MDL Learning Bayesian Networks. Uncertainty in Artificial Intelligence. 580–588.30 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.