Y. Jiang

653 citations
29 papers · 494 · h-index 12

Impact in

Papers in

Y. Jiang

28 papers receiving 487 citations

Peers

Y. Jiang
Comparison fields: 5 of 88
  • Condensed Matter Physics 133
  • Electronic, Optical and Magnetic Materials 165
  • Agronomy and Crop Science 79
  • Forestry 13
  • Computer Networks and Communications 70
Replace Aleksandar Simić with:
Aleksandar Simić Serbia
Caixing Liu China
Tingsu Chen China
K. Horiguchi Japan
Guanqun Zhang China
Lei Zhi China
Li Xie China
Rajesh Kumar Sharma India
Pawan Saini India
Avtar Singh India
Y. Jiang relative to Aleksandar Simić Serbia Aleksandar Simić's profile →
Citations per field
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Aleksandar Simić · 1×
Citations per year

Countries citing papers authored by Y. Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Y. Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019105
2 202059
3 202048
4 200042
5 200130
6 200028
7 202225
8 202419
9 202418
10
Explaining and Visualizing Random Forests in Terms of Variable Importance [R package randomForestExplainer version 0.10.1]
202014
11 202213
12 200011
13 200110
14 20099
15 20239
16 20009
17 20108
18 20016
19 20225
20 20115

About Y. Jiang

Y. Jiang is a scholar working on Electronic, Optical and Magnetic Materials, Condensed Matter Physics, Electrical and Electronic Engineering, Materials Chemistry and Artificial Intelligence, having authored 29 papers that have together received 494 indexed citations. Recurring topics across this work include Magnetic and transport properties of perovskites and related materials (13 papers), Advanced Condensed Matter Physics (11 papers), Wireless Communication Security Techniques (8 papers), Advanced Wireless Communication Technologies (4 papers), Rare-earth and actinide compounds (4 papers), Privacy-Preserving Technologies in Data (3 papers), Multiferroics and related materials (3 papers) and Advanced Thermoelectric Materials and Devices (3 papers). The work is most often cited by research in Condensed Matter Physics (133 citations), Electronic, Optical and Magnetic Materials (165 citations), Agronomy and Crop Science (79 citations), Forestry (13 citations) and Computer Networks and Communications (70 citations). Y. Jiang has collaborated with scholars based in China, Taiwan and Hong Kong. Frequent co-authors include Liangmin Wang, Hsiao‐Hwa Chen, Songliu Yuan, Yingping Yang, Juan José Romero, Feng Tu, L.F. Ferraretto, A.T. Adesogan, D. Vyas and Hui Zhao. Their work appears in journals such as Physical review. B, Condensed matter, Journal of Physics Condensed Matter, Applied Physics Letters, Solid State Communications and IEEE Internet of Things Journal.

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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