Jun-Hao Tang

632 citations
25 papers · 478 · h-index 12

Impact in

Papers in

Jun-Hao Tang

19 papers receiving 471 citations

Peers

Jun-Hao Tang
Comparison fields: 5 of 48
  • Industrial and Manufacturing Engineering 302
  • Inorganic Chemistry 338
  • Materials Chemistry 246
  • Water Science and Technology 36
  • Geochemistry and Petrology 12
Replace Lien Zhu with:
Lien Zhu China
Xianghui Ruan China
Satyam Saurabh India
Xiaosheng Zhao China
Xiyan Xu China
Christopher A. Zarzana United States
Xinyue Zhao China
Shun-Mo Yi China
Liqin Huang China
Wuqing Tao China
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Citations per field
00.5×4.3×
Lien Zhu · 1×
Citations per year

Countries citing papers authored by Jun-Hao Tang

Since Specialization
Citations

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

Fields of papers citing papers by Jun-Hao Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jun-Hao Tang. 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 Jun-Hao Tang. The network helps show where Jun-Hao Tang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021146
2 2022104
3 202237
4 202430
5 202422
6 202222
7 202221
8 202417
9 202315
10 202414
11 202413
12 202512
13 202210
14 20245
15 20224
16 20253
17 20251
18 20251
19 20221
20 20250

About Jun-Hao Tang

Jun-Hao Tang is a scholar working on Inorganic Chemistry, Industrial and Manufacturing Engineering, Materials Chemistry, Electronic, Optical and Magnetic Materials and Electrical and Electronic Engineering, having authored 25 papers that have together received 478 indexed citations. Recurring topics across this work include Chemical Synthesis and Characterization (15 papers), Radioactive element chemistry and processing (14 papers), Nuclear materials and radiation effects (6 papers), Metal-Organic Frameworks: Synthesis and Applications (4 papers), Covalent Organic Framework Applications (3 papers), Crystal Structures and Properties (2 papers), Geochemistry and Elemental Analysis (2 papers) and Inorganic Chemistry and Materials (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (302 citations), Inorganic Chemistry (338 citations), Materials Chemistry (246 citations), Water Science and Technology (36 citations) and Geochemistry and Petrology (12 citations). Jun-Hao Tang has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Xiao‐Ying Huang, Mei‐Ling Feng, Wen Ma, Tiantian Lv, Xi Zeng, Duoqiang Pan, Wangsuo Wu, Yang Xu, Yameng Hu and Xiang‐Yu Kong. Their work appears in journals such as Nature Communications, ACS Applied Materials & Interfaces, CrystEngComm, Chemical Engineering Journal and Fundamental Research.

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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