Baojun Yang

2.4k citations
82 papers · 1.9k · h-index 27

Impact in

Papers in

Baojun Yang

79 papers receiving 1.8k citations

Peers

Baojun Yang
Comparison fields: 5 of 109
  • Geophysics 941
  • Computer Vision and Pattern Recognition 419
  • Ocean Engineering 288
  • Analytical Chemistry 156
  • Plant Science 396
Replace Jens Leitloff with:
Jens Leitloff Germany
Liming Xu China
Yunxiang Liu China
Rui‐Sheng Jia China
Artzai Picón Spain
Christophe Cariou France
Lizhi Wang China
Michael Hayes New Zealand
Bulent Ayhan United States
Xiao Fu China
Baojun Yang relative to Jens Leitloff Germany Jens Leitloff's profile →
Citations per field
00.5×10×20×31.4×
Jens Leitloff · 1×
Citations per year

Countries citing papers authored by Baojun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Baojun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 82 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009168
2 2018129
3 201293
4 202075
5 201274
6 201769
7 201968
8 201463
9 200654
10 201452
11 202048
12 201148
13 200342
14 202341
15 200740
16 201939
17 201838
18 201334
19 202234
20 201533

About Baojun Yang

Baojun Yang is a scholar working on Geophysics, Computer Vision and Pattern Recognition, Artificial Intelligence, Plant Science and Molecular Biology, having authored 82 papers that have together received 1.9k indexed citations. Recurring topics across this work include Seismic Imaging and Inversion Techniques (42 papers), Seismic Waves and Analysis (34 papers), Image and Signal Denoising Methods (21 papers), Seismology and Earthquake Studies (9 papers), Smart Agriculture and AI (7 papers), Geological and Geophysical Studies (6 papers), Drilling and Well Engineering (5 papers) and Geological and Geochemical Analysis (5 papers). The work is most often cited by research in Geophysics (941 citations), Computer Vision and Pattern Recognition (419 citations), Ocean Engineering (288 citations), Analytical Chemistry (156 citations) and Plant Science (396 citations). Baojun Yang has collaborated with scholars based in China, United States and Thailand. Frequent co-authors include Yue Li, Qing Yao, Jian Tang, Hongbo Lin, Xintong Dong, Yuxing Zhao, Tie Zhong, Ning Wu, Yingfeng Zhou and Yang Hu. Their work appears in journals such as Geophysics, IEEE Transactions on Geoscience and Remote Sensing, IEEE Geoscience and Remote Sensing Letters, Comptes Rendus Géoscience and Journal of Integrative Agriculture.

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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