Xiaohai Sun

734 total citations
9 papers, 387 citations indexed

About

Xiaohai Sun is a scholar working on Artificial Intelligence, Management Science and Operations Research and Statistics and Probability. According to data from OpenAlex, Xiaohai Sun has authored 9 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 3 papers in Management Science and Operations Research and 3 papers in Statistics and Probability. Recurrent topics in Xiaohai Sun's work include Bayesian Modeling and Causal Inference (5 papers), Multi-Criteria Decision Making (3 papers) and Statistical Methods and Inference (3 papers). Xiaohai Sun is often cited by papers focused on Bayesian Modeling and Causal Inference (5 papers), Multi-Criteria Decision Making (3 papers) and Statistical Methods and Inference (3 papers). Xiaohai Sun collaborates with scholars based in Germany, China and Japan. Xiaohai Sun's co-authors include Bernhard Schölkopf, Kenji Fukumizu, Arthur Gretton, Dominik Janzing, Sadia Bano, Anwar Khan, Jamal Hussain, Yang Chenggang, Arzlan Abbas and Shuang Li and has published in prestigious journals such as Frontiers in Plant Science, Neurocomputing and Orphanet Journal of Rare Diseases.

In The Last Decade

Xiaohai Sun

9 papers receiving 370 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Xiaohai Sun Germany	6	207	97	64	44	30	9	387
Aldo Goia Italy	10	176 0.9×	368 3.8×	40 0.6×	39 0.9×	63 2.1×	22	619
Haeran Cho United Kingdom	10	101 0.5×	196 2.0×	92 1.4×	26 0.6×	50 1.7×	24	438
Shurong Zheng China	14	202 1.0×	471 4.9×	96 1.5×	18 0.4×	19 0.6×	57	657
Stanislav Volgushev Germany	14	140 0.7×	377 3.9×	119 1.9×	21 0.5×	46 1.5×	37	622
Ahlame Douzal-Chouakria France	8	111 0.5×	25 0.3×	20 0.3×	29 0.7×	19 0.6×	13	254
Ansgar Steland Germany	11	64 0.3×	208 2.1×	27 0.4×	39 0.9×	37 1.2×	72	411
Clifford Lam United Kingdom	11	60 0.3×	248 2.6×	150 2.3×	10 0.2×	42 1.4×	21	568
Christian Schittenkopf Austria	10	115 0.6×	16 0.2×	186 2.9×	16 0.4×	28 0.9×	22	445
Myoungshic Jhun South Korea	13	160 0.8×	368 3.8×	29 0.5×	44 1.0×	65 2.2×	49	553
Zaven A. Karian United States	11	90 0.4×	200 2.1×	36 0.6×	11 0.3×	35 1.2×	26	464

Countries citing papers authored by Xiaohai Sun

Since Specialization

Citations

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

Fields of papers citing papers by Xiaohai Sun

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaohai Sun

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

He, Yiting, Yadong Li, Arzlan Abbas, et al.. (2024). Identification of cotton pest and disease based on CFNet- VoV-GCSP -LSKNet-YOLOv8s: a new era of precision agriculture. Frontiers in Plant Science. 15. 1348402–1348402. 26 indexed citations

Yang, Xunzhe, Xiaohai Sun, Liyang Liu, et al.. (2022). Mutation spectrum of chinese amyotrophic lateral sclerosis patients with frontotemporal dementia. Orphanet Journal of Rare Diseases. 17(1). 5 indexed citations

Sun, Xiaohai, Yang Chenggang, Anwar Khan, Jamal Hussain, & Sadia Bano. (2020). The role of tourism, and natural resources in the energy-pollution-growth nexus: an analysis of belt and road initiative countries. Journal of Environmental Planning and Management. 64(6). 999–1020. 64 indexed citations

Sun, Xiaohai, Dominik Janzing, & Bernhard Schölkopf. (2008). Causal reasoning by evaluating the complexity of conditional densities with kernel methods. Neurocomputing. 71(7-9). 1248–1256. 12 indexed citations

Sun, Xiaohai & Dominik Janzing. (2007). Exploring the causal order of binary variables via exponential hierarchies of Markov kernels. MPG.PuRe (Max Planck Society). 465–470. 1 indexed citations

Fukumizu, Kenji, Arthur Gretton, Xiaohai Sun, & Bernhard Schölkopf. (2007). Kernel Measures of Conditional Dependence. Max Planck Institute for Plasma Physics. 20. 489–496. 227 indexed citations

Sun, Xiaohai, Dominik Janzing, & Bernhard Schölkopf. (2007). Distinguishing Between Cause and Effect via Kernel-Based Complexity Measures for Conditional Distributions. MPG.PuRe (Max Planck Society). 441–446. 4 indexed citations

Sun, Xiaohai, Dominik Janzing, Bernhard Schölkopf, & Kenji Fukumizu. (2007). A kernel-based causal learning algorithm. 855–862. 27 indexed citations

Sun, Xiaohai, Dominik Janzing, & Bernhard Schölkopf. (2006). Causal Inference by Choosing Graphs with Most Plausible Markov Kernels. MPG.PuRe (Max Planck Society). 1–11. 21 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.

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