Shoujun Wang

420 citations
20 papers · 325 · h-index 8

Impact in

Papers in

Shoujun Wang

15 papers receiving 316 citations

Peers

Shoujun Wang
Comparison fields: 5 of 53
  • Water Science and Technology 84
  • Electronic, Optical and Magnetic Materials 75
  • Automotive Engineering 41
  • Biomedical Engineering 135
  • Mechanical Engineering 76
Replace Sneha Shanbhag with:
Sneha Shanbhag United States
Hazlina Junoh Malaysia
Lianghong Zhu China
Dong-Jun Lee South Korea
Muhammad Sarfraz Akram Pakistan
Mona Bavarian United States
Chenyang Fan China
Mohammad Mahdi Zerafat Iran
Yi‐Chen Lin Taiwan
Anesu Nyabadza Ireland
Shoujun Wang relative to Sneha Shanbhag United States Sneha Shanbhag's profile →
Citations per field
00.5×2.8×
Sneha Shanbhag · 1×
Citations per year

Countries citing papers authored by Shoujun Wang

Since Specialization
Citations

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

Fields of papers citing papers by Shoujun Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202284
2 202052
3 201649
4 202247
5 202337
6 201724
7 202311
8 20207
9 20234
10 20193
11 20232
12 20242
13
Structural design of the vermicelli curling machine
20131
14 20251
15 20111
16 20250
17 20250
18 20250
19 20220
20 20190

About Shoujun Wang

Shoujun Wang is a scholar working on Biomedical Engineering, Control and Systems Engineering, Water Science and Technology, Electronic, Optical and Magnetic Materials and Molecular Biology, having authored 20 papers that have together received 325 indexed citations. Recurring topics across this work include Membrane Separation Technologies (3 papers), Soft Robotics and Applications (3 papers), Membrane-based Ion Separation Techniques (3 papers), Metal-Organic Frameworks: Synthesis and Applications (2 papers), Robotic Locomotion and Control (2 papers), Robot Manipulation and Learning (2 papers), Supercapacitor Materials and Fabrication (2 papers) and Bone Tissue Engineering Materials (2 papers). The work is most often cited by research in Water Science and Technology (84 citations), Electronic, Optical and Magnetic Materials (75 citations), Automotive Engineering (41 citations), Biomedical Engineering (135 citations) and Mechanical Engineering (76 citations). Shoujun Wang has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Dezhi Chen, Hongying Quan, Zhixia Zhang, Yi Hu, Chunqiu Zhang, Yuwei Yang, Cheng-Fei Du, Nan Yang, Yi Hu and Yachao Wang. Their work appears in journals such as Separation and Purification Technology, Crystal Growth & Design, Materials Letters, Journal of Energy Storage and Complexity.

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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