Junlin Wu

1.0k citations
51 papers · 744 · h-index 15

Impact in

Papers in

Junlin Wu

45 papers receiving 724 citations

Peers

Junlin Wu
Comparison fields: 5 of 107
  • Automotive Engineering 85
  • Industrial and Manufacturing Engineering 54
  • Artificial Intelligence 152
  • Electrical and Electronic Engineering 242
  • Mechanical Engineering 126
Replace Liming Luo with:
Liming Luo China
R. Brindha India
Haifeng Luo China
Tiantian Li China
Nayeon Kim South Korea
Md. Biplob Hossain Bangladesh
Wenyu Zhang China
He Cao China
Qimeng Zhang China
Junlin Wu relative to Liming Luo China Liming Luo's profile →
Citations per field
00.5×3.4×
Liming Luo · 1×
Citations per year

Countries citing papers authored by Junlin Wu

Since Specialization
Citations

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

Fields of papers citing papers by Junlin Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018190
2 202373
3 201967
4 202365
5 200131
6 200128
7 202327
8 201220
9 202320
10 202118
11 202516
12 202316
13 202315
14 201714
15 202414
16
Application of Probiotics in Aquaculture
200414
17 202413
18 202412
19 200112
20 202411

About Junlin Wu

Junlin Wu is a scholar working on Electrical and Electronic Engineering, Molecular Biology, Automotive Engineering, Computer Vision and Pattern Recognition and Mechanical Engineering, having authored 51 papers that have together received 744 indexed citations. Recurring topics across this work include Advancements in Battery Materials (13 papers), Advanced Battery Materials and Technologies (11 papers), Advanced Battery Technologies Research (6 papers), Advanced battery technologies research (6 papers), Extraction and Separation Processes (3 papers), Image and Object Detection Techniques (2 papers), Gut microbiota and health (2 papers) and Industrial Vision Systems and Defect Detection (2 papers). The work is most often cited by research in Automotive Engineering (85 citations), Industrial and Manufacturing Engineering (54 citations), Artificial Intelligence (152 citations), Electrical and Electronic Engineering (242 citations) and Mechanical Engineering (126 citations). Junlin Wu has collaborated with scholars based in United States, China and South Korea. Frequent co-authors include Yen-Hao Huang, Elvis Saravia, Yi-Shin Chen, Zheng Chen, Ding S. Shih, Anwar Khan, Shifang Jia, Dong Ju Lee, Wei Tang and Hongpeng Gao. Their work appears in journals such as Advanced Energy Materials, ACS Energy Letters, Advanced Functional Materials, BMC Psychiatry and Energy Conversion and Management.

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.

Explore authors with similar magnitude of impact