Y. Jiang

630 citations
28 papers · 474 indexed · h-index 12

Impact in

Papers in

Y. Jiang

27 papers receiving 467 citations

Peers

Y. Jiang
Comparison fields: 5 of 90
  • Condensed Matter Physics 132
  • Electronic, Optical and Magnetic Materials 164
  • Agronomy and Crop Science 77
  • Forestry 13
  • Computer Networks and Communications 64
Replace Aleksandar Simić with:
Aleksandar Simić Serbia
Yuji Sasaki Japan
K. Horiguchi Japan
Tingsu Chen China
Guanqun Zhang China
Lei Zhi China
Takashi Yasui Japan
P. C. Agarwal India
Avtar Singh India
Chul-Won Lee South Korea
Y. Jiang relative to Aleksandar Simić Serbia Aleksandar Simić's profile →
Citations per field
00.5×9.1×
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 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201996
2 202057
3 202047
4 200041
5 200130
6 200028
7 202225
8 202416
9 202416
10 202215
11
Explaining and Visualizing Random Forests in Terms of Variable Importance [R package randomForestExplainer version 0.10.1]
202014
12 200011
13 200110
14 20099
15 20009
16 20238
17 20108
18 20016
19 20225
20 20115

About Y. Jiang

Y. Jiang is a scholar working on Condensed Matter Physics, Electronic, Optical and Magnetic Materials, Reproductive Medicine, Agronomy and Crop Science and Electrical and Electronic Engineering, having authored 28 papers that have together received 474 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), Multiferroics and related materials (3 papers), Privacy-Preserving Technologies in Data (3 papers) and Advanced Thermoelectric Materials and Devices (3 papers). The work is most often cited by research in Condensed Matter Physics (132 citations), Electronic, Optical and Magnetic Materials (164 citations), Agronomy and Crop Science (77 citations), Forestry (13 citations) and Computer Networks and Communications (64 citations). Y. Jiang has collaborated with scholars based in China, Taiwan and Singapore. Frequent co-authors include Liangmin Wang, Hsiao‐Hwa Chen, Songliu Yuan, Yingping Yang, C. Q. Tang, Feng Tu, Hui Zhao, L.F. Ferraretto, Eduardo Marostegan de Paula and Juan José Romero. Their work appears in journals such as Physical review. B, Condensed matter, Journal of Physics Condensed Matter, Applied Physics Letters, Solid State Communications and Frontiers in Microbiology.

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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