Haihe Jiang

70 papers receiving 1.2k citations

Peers

Haihe Jiang
Comparison fields: 5 of 110
  • Ceramics and Composites 87
  • Spectroscopy 231
  • Atomic and Molecular Physics, and Optics 362
  • Developmental Neuroscience 43
  • Electrical and Electronic Engineering 497
Replace Sunil P. Singh with:
Sunil P. Singh India
Jianyu He China
Daniel Morvan France
Huan Niu Taiwan
Siqi Zhu China
Yunjian Wang China
Yueming Zhang China
Chengbin Li China
Chun‐Liang Lin Taiwan
Thomas Fischer Germany
Haihe Jiang relative to Sunil P. Singh India Sunil P. Singh's profile →
Citations per field
00.5×9.7×
Sunil P. Singh · 1×
Citations per year

Countries citing papers authored by Haihe Jiang

Since Specialization
Citations

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

Fields of papers citing papers by Haihe Jiang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201491
2 201087
3 200669
4 201757
5 201647
6 200943
7 201341
8 201840
9 201140
10 201037
11 201934
12 201531
13
Proteomic analysis of secreted proteins of non-small cell lung cancer.
200629
14 201529
15 201429
16 201228
17 200827
18 200927
19 201526
20 200825

About Haihe Jiang

Haihe Jiang is a scholar working on Electrical and Electronic Engineering, Atomic and Molecular Physics, and Optics, Spectroscopy, Biomedical Engineering and Materials Chemistry, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Solid State Laser Technologies (28 papers), Photorefractive and Nonlinear Optics (15 papers), Advanced Chemical Sensor Technologies (15 papers), Mass Spectrometry Techniques and Applications (13 papers), Advanced Fiber Laser Technologies (12 papers), Luminescence Properties of Advanced Materials (11 papers), Analytical Chemistry and Chromatography (11 papers) and Analytical chemistry methods development (6 papers). The work is most often cited by research in Ceramics and Composites (87 citations), Spectroscopy (231 citations), Atomic and Molecular Physics, and Optics (362 citations), Developmental Neuroscience (43 citations) and Electrical and Electronic Engineering (497 citations). Haihe Jiang has collaborated with scholars based in China, Portugal and Canada. Frequent co-authors include Xianyou Wu, Shaotang Yin, Shengxi Chen, Chengyin Shen, Qingli Zhang, Lingjin Huang, Li Wang, Jingwei Yang, Dunlu Sun and Wanjun Luo. Their work appears in journals such as Optics Letters, International Journal of Mass Spectrometry, Optics Express, Chinese Physics Letters and Laser Physics Letters.

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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