Fusong Jiang

916 citations
53 papers · 682 · h-index 16

Impact in

Papers in

Fusong Jiang

51 papers receiving 672 citations

Peers

Fusong Jiang
Comparison fields: 5 of 101
  • Ceramics and Composites 68
  • Endocrinology, Diabetes and Metabolism 64
  • Physiology 92
  • Materials Chemistry 178
  • Ophthalmology 21
Replace Yuto Nakamura with:
Yuto Nakamura Japan
Geng Wang China
Licheng Jiang China
Mingyuan Hu China
Martin Purschke United States
Yi Zhuang China
Kenji Hanada Japan
Rashmi Joshi India
Lian Li China
Hao Liang China
Fusong Jiang relative to Yuto Nakamura Japan Yuto Nakamura's profile →
Citations per field
00.5×10×13.6×
Yuto Nakamura · 1×
Citations per year

Countries citing papers authored by Fusong Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Fusong Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201869
2 201162
3 201542
4 198242
5 199130
6 199730
7 202329
8 200727
9 200826
10 202223
11 202022
12 201621
13 201420
14 201719
15 202016
16 202115
17 202115
18 199514
19 201914
20 201913

About Fusong Jiang

Fusong Jiang is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 53 papers that have together received 682 indexed citations. Recurring topics across this work include Phase-change materials and chalcogenides (14 papers), Chalcogenide Semiconductor Thin Films (13 papers), Nonlinear Optical Materials Studies (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), AI in cancer detection (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Solid-state spectroscopy and crystallography (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Ceramics and Composites (68 citations), Endocrinology, Diabetes and Metabolism (64 citations), Physiology (92 citations), Materials Chemistry (178 citations) and Ophthalmology (21 citations). Fusong Jiang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fuxi Gan, Xingbo Cheng, Huaying Fan, Weiping Jia, Bei Zhu, Xuhong Hou, Masahiro Okuda, Hong Xu, Yuqian Bao and Shuyan Zhang. Their work appears in journals such as Journal of Non-Crystalline Solids, Materials Letters, Japanese Journal of Applied Physics, Diabetes Research and Clinical Practice and Laboratory Investigation.

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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