Haijun Wei

54 papers receiving 428 citations

Peers

Haijun Wei
Comparison fields: 5 of 88
  • Bioengineering 39
  • Automotive Engineering 67
  • Mechanical Engineering 174
  • Industrial and Manufacturing Engineering 39
  • Statistical and Nonlinear Physics 45
Replace Xiaoning Wang with:
Xiaoning Wang China
Qinglin Ma China
Gao China
Shengyuan Zhang China
Jean-Pierre Chabriat Réunion
A. Arroyo Spain
Umesh Kumar India
Juhyun Kim South Korea
Carlo Guarnieri Calò Carducci Italy
Haijun Wei relative to Xiaoning Wang China Xiaoning Wang's profile →
Citations per field
00.5×9.8×
Xiaoning Wang · 1×
Citations per year

Countries citing papers authored by Haijun Wei

Since Specialization
Citations

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

Fields of papers citing papers by Haijun Wei

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201554
2 199949
3 201629
4 202323
5
VOLCANO AT TIANCHI LAKE, CHANGBAISHAN MT.——A MODERN VOLCANO WITH POTENTIAL DANGER OF ERUPTION
199223
6 201516
7 201715
8 202015
9 201515
10 201512
11 202412
12 20238
13 20218
14 20218
15 20228
16 20178
17 20237
18 20237
19 20117
20 20187

About Haijun Wei

Haijun Wei is a scholar working on Industrial and Manufacturing Engineering, Aquatic Science, Automotive Engineering, Control and Systems Engineering and Mechanical Engineering, having authored 58 papers that have together received 435 indexed citations. Recurring topics across this work include Gear and Bearing Dynamics Analysis (11 papers), Machine Fault Diagnosis Techniques (9 papers), Lubricants and Their Additives (9 papers), Brake Systems and Friction Analysis (8 papers), Industrial Vision Systems and Defect Detection (7 papers), Tribology and Lubrication Engineering (7 papers), Advanced Algorithms and Applications (5 papers) and Advanced Sensor and Control Systems (5 papers). The work is most often cited by research in Bioengineering (39 citations), Automotive Engineering (67 citations), Mechanical Engineering (174 citations), Industrial and Manufacturing Engineering (39 citations) and Statistical and Nonlinear Physics (45 citations). Haijun Wei has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Guobin Li, Maryanne M. Collinson, Felix Haifeng Liao, Ting Liu, Rong Liu, Jian Li, Ye Qiu, Longwu Geng, Xinchi Shang and Hong Liu. Their work appears in journals such as Aquaculture Reports, Tribology International, Scientific Reports, Tribology Transactions and Wireless Communications and Mobile Computing.

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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