Lanjun Wan

1.0k citations
41 papers · 747 · 1 hit paper · h-index 16

Impact in

Papers in

Lanjun Wan

39 papers receiving 729 citations

Lanjun Wan's Hit Papers

A novel deep convolution multi-adversarial domain adaptation model for rolling bearing fault diagnosis 2022 · 170 citations
1700+1+2Years since publication50100150

Peers

Lanjun Wan
Comparison fields: 5 of 74
  • Control and Systems Engineering 392
  • Industrial and Manufacturing Engineering 142
  • Hardware and Architecture 49
  • Mechanical Engineering 219
  • Mechanics of Materials 108
Replace Shimeng Wu with:
Shimeng Wu China
Indranil Roychoudhury United States
Maryam Farajzadeh-Zanjani Canada
Jan Maciej Kościelny Poland
Haydn A. Thompson United Kingdom
Yindong Ji China
Emília Villani Brazil
Djamel Benazzouz Algeria
Ehsan Hallaji Canada
K. Verbert Netherlands
Lanjun Wan relative to Shimeng Wu China Shimeng Wu's profile →
Citations per field
00.5×5×11×
Shimeng Wu · 1×
Citations per year

Countries citing papers authored by Lanjun Wan

Since Specialization
Citations

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

Fields of papers citing papers by Lanjun Wan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A novel deep convolution multi-adversarial domain adaptation model for rolling bearing fault diagnosis
Hit paper breakdown →
2022170
2 202191
3 202060
4 202438
5 201330
6 202028
7 202127
8 202326
9 202326
10 202421
11 202020
12 202220
13 201419
14 201518
15 201518
16 202416
17 201515
18 202112
19 202412
20 202411

About Lanjun Wan

Lanjun Wan is a scholar working on Computer Networks and Communications, Control and Systems Engineering, Industrial and Manufacturing Engineering, Hardware and Architecture and Information Systems, having authored 41 papers that have together received 747 indexed citations. Recurring topics across this work include Machine Fault Diagnosis Techniques (12 papers), Optimization and Search Problems (10 papers), Gear and Bearing Dynamics Analysis (9 papers), Cloud Computing and Resource Management (6 papers), Scheduling and Optimization Algorithms (6 papers), Advanced Manufacturing and Logistics Optimization (5 papers), Fault Detection and Control Systems (5 papers) and Distributed and Parallel Computing Systems (5 papers). The work is most often cited by research in Control and Systems Engineering (392 citations), Industrial and Manufacturing Engineering (142 citations), Hardware and Architecture (49 citations), Mechanical Engineering (219 citations) and Mechanics of Materials (108 citations). Lanjun Wan has collaborated with scholars based in China and United States. Frequent co-authors include Changyun Li, Yuanyuan Li, Keqin Li, Keyu Chen, Xinpan Yuan, Kenli Li, Yiwei Chen, Xiaojun Deng, Jiaen Ning and Xueyan Cui. Their work appears in journals such as IEEE Access, Engineering Applications of Artificial Intelligence, Knowledge-Based Systems, IEEE Sensors Journal and Computers & Industrial Engineering.

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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