Haijun Lin

84 papers receiving 807 citations

Peers

Haijun Lin
Comparison fields: 5 of 105
  • Electronic, Optical and Magnetic Materials 162
  • Industrial and Manufacturing Engineering 49
  • Water Science and Technology 66
  • Electrical and Electronic Engineering 256
  • Automotive Engineering 52
Replace Cian O’Mathúna with:
Cian O’Mathúna Ireland
Qifeng Liu China
Jianguo Yang China
Hengliang Zhang China
Limin Zhang China
Hai Yang China
Siyuan Chen China
Jinlong Xie China
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Citations per field
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Citations per year

Countries citing papers authored by Haijun Lin

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201990
2 201556
3 202247
4 202246
5 202136
6 201831
7 202228
8 202025
9 201425
10 202224
11 202021
12 202219
13 202018
14 202217
15 201917
16 202115
17 202414
18
[Mahalanobis distance based hyperspectral characteristic discrimination of leaves of different desert tree species].
201413
19 202012
20 201312

About Haijun Lin

Haijun Lin is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Mechanical Engineering, Control and Systems Engineering and Computer Networks and Communications, having authored 100 papers that have together received 841 indexed citations. Recurring topics across this work include Transport Systems and Technology (12 papers), Sensor Technology and Measurement Systems (10 papers), Analog and Mixed-Signal Circuit Design (10 papers), Water Quality Monitoring Technologies (9 papers), Water Quality Monitoring and Analysis (8 papers), Power Quality and Harmonics (5 papers), Fault Detection and Control Systems (5 papers) and Advanced Battery Technologies Research (5 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (162 citations), Industrial and Manufacturing Engineering (49 citations), Water Science and Technology (66 citations), Electrical and Electronic Engineering (256 citations) and Automotive Engineering (52 citations). Haijun Lin has collaborated with scholars based in China, Japan and Taiwan. Frequent co-authors include Houde Dai, Jianmin Li, Zhaosheng Teng, Rongrong Guo, Tim C. Lueth, Yuxiang Yang, Kai‐Da Xu, Jinfeng Zhu, Yijun Cai and Naixing Feng. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Measurement, IEEE Sensors Journal, International journal of agricultural and biological engineering and Computers, materials & continua/Computers, materials & continua (Print).

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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