Dalai Jin

1.3k citations
80 papers · 1.1k · h-index 20

Impact in

Papers in

Dalai Jin

78 papers receiving 1.1k citations

Peers

Dalai Jin
Comparison fields: 5 of 75
  • Materials Chemistry 733
  • Renewable Energy, Sustainability and the Environment 179
  • Biomaterials 133
  • Electronic, Optical and Magnetic Materials 176
  • Electrical and Electronic Engineering 425
Replace Stefano Checchia with:
Stefano Checchia France
Aldona Beganskienė Lithuania
Debojyoti Nath India
L. El Mir Tunisia
S. A. Shivashankar India
Patrick Keil Germany
Lidija Mančić Serbia
F.F.H. Aragón Brazil
Volkan Ortalan United States
Peter Koshy India
Dalai Jin relative to Stefano Checchia France Stefano Checchia's profile →
Citations per field
00.5×10×15×19.7×
Stefano Checchia · 1×
Citations per year

Countries citing papers authored by Dalai Jin

Since Specialization
Citations

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

Fields of papers citing papers by Dalai Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006104
2 200869
3 201258
4 200956
5 201050
6 200742
7 201536
8 200735
9 201031
10 200730
11 200827
12 200826
13 200726
14 200724
15 200724
16 201122
17 200422
18 201222
19 202020
20 200820

About Dalai Jin

Dalai Jin is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Biomaterials and Renewable Energy, Sustainability and the Environment, having authored 80 papers that have together received 1.1k indexed citations. Recurring topics across this work include Luminescence Properties of Advanced Materials (23 papers), ZnO doping and properties (14 papers), Gas Sensing Nanomaterials and Sensors (14 papers), Supercapacitor Materials and Fabrication (9 papers), Copper-based nanomaterials and applications (8 papers), Radiation Detection and Scintillator Technologies (7 papers), Advancements in Battery Materials (7 papers) and Calcium Carbonate Crystallization and Inhibition (7 papers). The work is most often cited by research in Materials Chemistry (733 citations), Renewable Energy, Sustainability and the Environment (179 citations), Biomaterials (133 citations), Electronic, Optical and Magnetic Materials (176 citations) and Electrical and Electronic Engineering (425 citations). Dalai Jin has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Linhai Yue, Kuihong Yao, Longcheng Wang, Hongliang Zhu, Hong Yang, Xiaojing Yu, Deren Yang, Hongliang Zhu, Lina Wang and Zhenqiang Xi. Their work appears in journals such as Materials Chemistry and Physics, Materials Letters, Electrochemical and Solid-State Letters, Dyes and Pigments and Journal of Materials Science.

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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