Yuling Jiao

1.3k citations
67 papers · 672 · h-index 15

Impact in

Papers in

Yuling Jiao

52 papers receiving 650 citations

Peers

Yuling Jiao
Comparison fields: 5 of 75
  • Statistics and Probability 148
  • Computational Mechanics 298
  • Media Technology 113
  • Computer Vision and Pattern Recognition 216
  • Mathematical Physics 61
Replace Xiliang Lu with:
Xiliang Lu China
Penghang Yin United States
Xiangyu Chang China
Yaniv Romano Israel
Adrian Butscher United States
Krikamol Muandet Germany
Gui–Bo Ye United States
Mauro Piccioni Italy
Lie Wang United States
Michael C. Grant United States
Yuling Jiao relative to Xiliang Lu China Xiliang Lu's profile →
Citations per field
00.5×1.5×1.9×
Xiliang Lu · 1×
Citations per year

Countries citing papers authored by Yuling Jiao

Since Specialization
Citations

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

Fields of papers citing papers by Yuling Jiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yuling Jiao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yuling Jiao Line = papers co-authored together Yuling Jiao links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201692
2 201458
3 202356
4 201638
5 201837
6 201535
7 201633
8 201430
9 201926
10 202121
11 202020
12 202118
13 201816
14 202315
15 202215
16 202314
17 201912
18 201412
19 201511
20 201711

About Yuling Jiao

Yuling Jiao is a scholar working on Computational Mechanics, Statistics and Probability, Artificial Intelligence, Computer Vision and Pattern Recognition and Control and Systems Engineering, having authored 67 papers that have together received 672 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (28 papers), Statistical Methods and Inference (17 papers), Model Reduction and Neural Networks (9 papers), Control Systems and Identification (8 papers), Numerical methods in inverse problems (8 papers), Neural Networks and Applications (6 papers), Image and Signal Denoising Methods (6 papers) and Advanced Statistical Methods and Models (5 papers). The work is most often cited by research in Statistics and Probability (148 citations), Computational Mechanics (298 citations), Media Technology (113 citations), Computer Vision and Pattern Recognition (216 citations) and Mathematical Physics (61 citations). Yuling Jiao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xiliang Lu, Bangti Jin, Jian Huang, Jin Liu, Huanfeng Shen, Xinxin Liu, Qiangqiang Yuan, Liangpei Zhang, Yanyan Liu and Xingjie Shi. Their work appears in journals such as Journal of Scientific Computing, Bioinformatics, Computational Statistics & Data Analysis, Communications in Computational Physics and Nature Communications.

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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