Lijing Zhu

5.0k citations
93 papers · 4.2k indexed · 1 hit paper · h-index 33

Lijing Zhu

87 papers receiving 4.1k citations

Hit Papers

Surface Characteristics of a Self-Polymerized Dopamine Co...6742011202620162021200400600

Peers

Lijing Zhu
Comparison fields: 5 of 114
  • Surfaces, Coatings and Films 1.5k
  • Water Science and Technology 2.0k
  • Biomaterials 706
  • Biomedical Engineering 1.9k
  • Renewable Energy, Sustainability and the Environment 438
Replace Xiaobin Yang with:
Xiaobin Yang China
Yiping Zhao China
Lixin Xue China
Xiquan Cheng China
Jianqiang Meng China
Yuan Liao China
Qinglin Huang China
Ayşe Asatekin United States
Antoine Venault Taiwan
Jing Guo China
Lijing Zhu relative to Xiaobin Yang China Xiaobin Yang's profile →
Citations per field
00.5×10×20×30×40×
Xiaobin Yang · 1×
Citations per year

Countries citing papers authored by Lijing Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Lijing Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20247
4 20245
5 20247
6 20241
7 202428
8 20246
9 20240
10 202311
11 20232
12 202311
13 202189
14 202049
15 201811
16 201764
17 201530
18 2014136
19 2013147
20
Preprocessing of Carbon Nanotube Dispersion for Productive Spray Coating
20120

About Lijing Zhu

Lijing Zhu is a scholar working on Surfaces, Coatings and Films, Water Science and Technology and Biomedical Engineering, having authored 93 papers that have together received 4.2k indexed citations. Recurring topics across this work include Membrane Separation Technologies (50 papers), Surface Modification and Superhydrophobicity (32 papers), Advanced Sensor and Energy Harvesting Materials (22 papers), Membrane-based Ion Separation Techniques (12 papers), Polymer Surface Interaction Studies (12 papers), Membrane Separation and Gas Transport (11 papers), Solar-Powered Water Purification Methods (9 papers) and Electrospun Nanofibers in Biomedical Applications (8 papers). The work is most often cited by research in Surfaces, Coatings and Films (1.5k citations), Water Science and Technology (2.0k citations) and Biomaterials (706 citations). Lijing Zhu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Bao‐Ku Zhu, You‐Yi Xu, Li Zhu, Jinhong Jiang, Zhixiang Zeng, Lixin Xue, Gang Wang, Haiming Song, Qunji Xue and Hongtao Zhang. Their work appears in journals such as Advanced Materials, Progress in Polymer Science and Journal of Hazardous Materials.

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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