Xujiang Zhao

445 citations
23 papers · 125 indexed · h-index 8
Topics
Advanced Graph Neural Networks (8 papers)Bayesian Modeling and Causal Inference (5 papers)Topic Modeling (5 papers)
Journals
Information FusionFrontiers in Big DataarXiv (Cornell University)

In The Last Decade

Xujiang Zhao

23 papers receiving 123 citations

Peers

Xujiang Zhao
Comparison fields: 5 of 42
  • Artificial Intelligence 77
  • Computer Vision and Pattern Recognition 26
  • Signal Processing 14
  • Management Science and Operations Research 13
  • Information Systems 8
Replace Giuseppe Marra with:
Giuseppe Marra Belgium
Jishnu Mukhoti United Kingdom
Ali Vakilian United States
Prafulla Dhariwal
Justin Chiu United States
Yanshuai Cao Canada
Ruikun Li Australia
Mohamed Farouk Abdel Hady Germany
Vitorino Ramos Portugal
Thibault Gisselbrecht France
Xujiang Zhao relative to Giuseppe Marra Belgium Giuseppe Marra's profile →
Citations per field
00.5×1.5×2.3×
Giuseppe Marra · 1×
Citations per year

Countries citing papers authored by Xujiang Zhao

Since Specialization
Citations

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

Fields of papers citing papers by Xujiang Zhao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xujiang Zhao

This figure shows the co-authorship network connecting the top 25 collaborators of Xujiang Zhao. A scholar is included among the top collaborators of Xujiang Zhao 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 Xujiang Zhao. Xujiang Zhao 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 1
2 8
3 5
4 1
5 4
6 1
7 14
8 4
9 2
10 2
11 7
12 10
13 14
14 13
15
Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning
9
16
Uncertainty Aware Semi-Supervised Learning on Graph Data
1
17 7
18
Uncertainty-Aware Prediction for Graph Neural Networks
1
19 4
20 7

About Xujiang Zhao

Xujiang Zhao is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Signal Processing, having authored 23 papers that have together received 125 indexed citations. Recurring topics across this work include Advanced Graph Neural Networks (8 papers), Bayesian Modeling and Causal Inference (5 papers) and Topic Modeling (5 papers). The work is most often cited by research in Artificial Intelligence (77 citations), Health Informatics (3 citations) and Signal Processing (14 citations). Xujiang Zhao has collaborated with scholars based in United States, United Kingdom and Norway. Frequent co-authors include Jin-Hee Cho, Feng Chen, Haifeng Chen, Xuchao Zhang, Feng Chen, Feng Chen, Dong Hyun Jeong, Latifur Khan, Yu Lin and Qi Yu. Their work appears in journals such as Information Fusion, Frontiers in Big Data and arXiv (Cornell University).

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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