Jin–Chung Sin

6.7k citations
133 papers · 5.8k · h-index 49

Impact in

Papers in

Jin–Chung Sin

127 papers receiving 5.8k citations

Peers

Jin–Chung Sin
Comparison fields: 5 of 113
  • Renewable Energy, Sustainability and the Environment 4.1k
  • Materials Chemistry 3.6k
  • Electronic, Optical and Magnetic Materials 772
  • Industrial and Manufacturing Engineering 306
  • Water Science and Technology 466
Replace Sze–Mun Lam with:
Sze–Mun Lam Malaysia
Anita Sudhaik India
Wenjun Jiang China
Vincenzo Vaiano Italy
Pichiah Saravanan India
Diana Sannino Italy
Yanjun Xin China
Mohammad Qamar Saudi Arabia
Jiseon Jang South Korea
Karthikeyan Sekar India
Jin–Chung Sin relative to Sze–Mun Lam Malaysia Sze–Mun Lam's profile →
Citations per field
00.5×1.5×
Sze–Mun Lam · 1×
Citations per year

Countries citing papers authored by Jin–Chung Sin

Since Specialization
Citations

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

Fields of papers citing papers by Jin–Chung Sin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 133 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012384
2 2016179
3 2017167
4 2013157
5 2013154
6 2021131
7 2020127
8 2020126
9 2011121
10 2013120
11 2013113
12 2019109
13 2021108
14 2013106
15 2020104
16 2015100
17 202298
18 202192
19 202190
20 201789

About Jin–Chung Sin

Jin–Chung Sin is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials and Water Science and Technology, having authored 133 papers that have together received 5.8k indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (100 papers), TiO2 Photocatalysis and Solar Cells (43 papers), Gas Sensing Nanomaterials and Sensors (40 papers), ZnO doping and properties (28 papers), Copper-based nanomaterials and applications (21 papers), Advanced Nanomaterials in Catalysis (19 papers), Ga2O3 and related materials (10 papers) and Electrochemical sensors and biosensors (10 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (4.1k citations), Materials Chemistry (3.6k citations), Electronic, Optical and Magnetic Materials (772 citations), Industrial and Manufacturing Engineering (306 citations) and Water Science and Technology (466 citations). Jin–Chung Sin has collaborated with scholars based in Malaysia, China and India. Frequent co-authors include Sze–Mun Lam, Abdul Rahman Mohamed, Honghu Zeng, Ahmad Zuhairi Abdullah, Keat Teong Lee, Haixiang Li, Hua Lin, Jun Wei Lim, Abdul Rahman Mohamed and Zeeshan Haider Jaffari. Their work appears in journals such as Materials Letters, Journal of environmental chemical engineering, Separation and Purification Technology, Ceramics International and Applied Surface 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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