Manli Lu

920 citations
21 papers · 534 · 1 hit paper · h-index 8

Impact in

Papers in

Manli Lu

18 papers receiving 494 citations

Manli Lu's Hit Papers

Exploring blockchain technology and its potential applications for education 2018 · 401 citations
4010+2+5Years since publication100200300400

Peers

Manli Lu
Comparison fields: 5 of 85
  • Information Systems 358
  • Management Information Systems 63
  • Computer Networks and Communications 115
  • Computer Science Applications 24
  • Polymers and Plastics 47
Replace Markus Stolze with:
Markus Stolze United States
Yi Pan China
Sonal Sharma India
Yanling Chang United States
Munan Li China
Sunday O. Ojo South Africa
Rui Duan China
Muhammad Ramzan Pakistan
Dongyeon Kim South Korea
Rajesh M. Holmukhe India
Manli Lu relative to Markus Stolze United States Markus Stolze's profile →
Citations per field
00.5×10×20×27.3×
Markus Stolze · 1×
Citations per year

Countries citing papers authored by Manli Lu

Since Specialization
Citations

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

Fields of papers citing papers by Manli Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Exploring blockchain technology and its potential applications for education
Hit paper breakdown →
2018401
2 202329
3 202418
4 202214
5 202310
6 201910
7 20239
8 20207
9 20257
10 20256
11 20244
12 20244
13 20234
14 20204
15 20233
16 20212
17 20251
18 20251
19 20130
20 20250

About Manli Lu

Manli Lu is a scholar working on Polymers and Plastics, Biomedical Engineering, Materials Chemistry, Electrical and Electronic Engineering and Organic Chemistry, having authored 21 papers that have together received 534 indexed citations. Recurring topics across this work include Polymer crystallization and properties (4 papers), Advanced Sensor and Energy Harvesting Materials (4 papers), Conducting polymers and applications (3 papers), Nanomaterials for catalytic reactions (3 papers), Microplastics and Plastic Pollution (3 papers), Recycling and Waste Management Techniques (2 papers), Gas Sensing Nanomaterials and Sensors (2 papers) and Supercapacitor Materials and Fabrication (2 papers). The work is most often cited by research in Information Systems (358 citations), Management Information Systems (63 citations), Computer Networks and Communications (115 citations), Computer Science Applications (24 citations) and Polymers and Plastics (47 citations). Manli Lu has collaborated with scholars based in China, Australia and Taiwan. Frequent co-authors include Bing Xu, Nian‐Shing Chen, Guang Chen, Aimiao Qin, Kaiyou Zhang, Linfan Li, Jihao Li, Shuoping Chen, Tao Huang and Wei Sun. Their work appears in journals such as Polymer Degradation and Stability, Applied Materials Today, Nano Energy, Smart Learning Environments and Journal of Polymer Research.

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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