Xiaolin Yang

517 citations
22 papers · 385 · h-index 10

Impact in

    • earthquake and tectonic studies
    • High-pressure geophysics and materials
    • Geological and Geochemical Analysis
    • Evacuation and Crowd Dynamics

Papers in

Xiaolin Yang

21 papers receiving 372 citations

Peers

Xiaolin Yang
Comparison fields: 5 of 93
  • Geophysics 69
  • Ocean Engineering 80
  • Transportation 34
  • Safety, Risk, Reliability and Quality 30
  • Artificial Intelligence 107
Replace Haojie Ma with:
Haojie Ma China
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Cristina Rubio-Escudero Spain
Ankush Manocha India
Kai Ma China
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Citations per year

Countries citing papers authored by Xiaolin Yang

Since Specialization
Citations

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

Fields of papers citing papers by Xiaolin Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201064
2
Heterogeneous multitask learning with joint sparsity constraints
200956
3 201054
4 201734
5 201630
6 201621
7 201219
8 201517
9 201216
10 201415
11 201510
12 20229
13 20237
14 20237
15 20106
16 20096
17 20094
18 20114
19 20103
20 20122

About Xiaolin Yang

Xiaolin Yang is a scholar working on Geophysics, Computer Networks and Communications, Information Systems and Management, Artificial Intelligence and Building and Construction, having authored 22 papers that have together received 385 indexed citations. Recurring topics across this work include earthquake and tectonic studies (5 papers), Geological and Geochemical Analysis (5 papers), High-pressure geophysics and materials (5 papers), Data-Driven Disease Surveillance (2 papers), Evacuation and Crowd Dynamics (2 papers), Scientific Computing and Data Management (2 papers), Seismology and Earthquake Studies (2 papers) and Distributed and Parallel Computing Systems (2 papers). The work is most often cited by research in Geophysics (69 citations), Ocean Engineering (80 citations), Transportation (34 citations), Safety, Risk, Reliability and Quality (30 citations) and Artificial Intelligence (107 citations). Xiaolin Yang has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Zhongliang Wu, Alessandro Rinaldo, Stephen E. Fienberg, Yingchun Li, Se Young Kim, Eric P. Xing, Chang Liu, Yao Shi, Chang Liu and Jiali Mao. Their work appears in journals such as Journal of Asian Earth Sciences, Progress in Biophysics and Molecular Biology, Physics of The Earth and Planetary Interiors, Physica A Statistical Mechanics and its Applications and Journal of Hydrology.

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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