Yunlu Jiang

672 citations
40 papers · 461 · h-index 11

Impact in

Papers in

Yunlu Jiang

36 papers receiving 443 citations

Peers

Yunlu Jiang
Comparison fields: 5 of 82
  • Statistics and Probability 207
  • Metals and Alloys 21
  • Statistics, Probability and Uncertainty 57
  • Water Science and Technology 48
  • Mechanical Engineering 90
Replace Bin He with:
Bin He China
Daniela Jarušková Czechia
Jangho Park United States
Haiyang Li China
Neetu Neetu India
Wolfgang Mauntz Germany
Xiaopeng Jiang China
W. Castaings Italy
Bei Chen China
S. Cunha Brazil
Yunlu Jiang relative to Bin He China Bin He's profile →
Citations per field
00.5×10×14×
Bin He · 1×
Citations per year

Countries citing papers authored by Yunlu Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Yunlu Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yunlu Jiang, 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 Yunlu Jiang Line = papers co-authored together Yunlu Jiang links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013121
2 201256
3 201852
4 201828
5 201828
6 201321
7 202018
8 201716
9 201410
10 201510
11 201510
12 20129
13 20178
14 20227
15 20116
16 20126
17 20156
18 20225
19 20195
20 20224

About Yunlu Jiang

Yunlu Jiang is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty, Artificial Intelligence, Mechanical Engineering and Metals and Alloys, having authored 40 papers that have together received 461 indexed citations. Recurring topics across this work include Advanced Statistical Methods and Models (16 papers), Statistical Methods and Inference (16 papers), Advanced Statistical Process Monitoring (10 papers), Statistical Methods and Bayesian Inference (5 papers), Welding Techniques and Residual Stresses (5 papers), Advanced Welding Techniques Analysis (5 papers), Bayesian Methods and Mixture Models (5 papers) and Hydrogen embrittlement and corrosion behaviors in metals (4 papers). The work is most often cited by research in Statistics and Probability (207 citations), Metals and Alloys (21 citations), Statistics, Probability and Uncertainty (57 citations), Water Science and Technology (48 citations) and Mechanical Engineering (90 citations). Yunlu Jiang has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Xueqin Wang, Heping Zhang, Mian Huang, Jicai Feng, Qingjie Sun, Manzoor Qadir, Alexandra Evans, Pay Drechsel, Munir A. Hanjra and Yibo Liu. Their work appears in journals such as Metals, Journal of Manufacturing Processes, Journal of the American Statistical Association, Mathematical and Computer Modelling and Science of Advanced Materials.

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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