Linlin Zhu

623 citations
19 papers · 458 indexed · 1 hit paper · h-index 11

Linlin Zhu

18 papers receiving 447 citations

Hit Papers

How online reviews affect purchase intention: a new model...225202020262022202450100150200

Peers

Linlin Zhu
Comparison fields: 5 of 98
  • Information Systems and Management 112
  • Marketing 119
  • Organizational Behavior and Human Resource Management 44
  • Sociology and Political Science 184
  • Polymers and Plastics 53
Replace Pianpian Yang with:
Pianpian Yang China
Ji Wu China
Hun Choi South Korea
Sumit Kumar India
Jianyao Li China
Yanliu Huang United States
Chia‐Chin Chang Taiwan
Fang Qin China
Hsiao‐Ching Lee Taiwan
Kunsu Park South Korea
Linlin Zhu relative to Pianpian Yang China Pianpian Yang's profile →
Citations per field
00.5×1.6×
Pianpian Yang · 1×
Citations per year

Countries citing papers authored by Linlin Zhu

Since Specialization
Citations

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

Fields of papers citing papers by Linlin Zhu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20250
2 20251
3 20246
4 202117
5 202028
6
How online reviews affect purchase intention: a new model based on the stimulus-organism-response (S-O-R) frameworkbreakdown →
2020225
7 201920
8 201831
9 201811
10 201731
11 201713
12 20156
13 20155
14 201515
15 201413
16 201314
17 201310
18 20113
19 20069

About Linlin Zhu

Linlin Zhu is a scholar working on Energy Engineering and Power Technology, Information Systems and Management, Industrial and Manufacturing Engineering, Polymers and Plastics and Organizational Behavior and Human Resource Management, having authored 19 papers that have together received 458 indexed citations. Recurring topics across this work include Dendrimers and Hyperbranched Polymers (3 papers), Advanced Photocatalysis Techniques (3 papers), Muscle activation and electromyography studies (2 papers), Nanomaterials for catalytic reactions (2 papers), Advanced biosensing and bioanalysis techniques (2 papers), Electrochemical sensors and biosensors (2 papers), Neuroscience and Neural Engineering (2 papers) and Advanced Nanomaterials in Catalysis (2 papers). The work is most often cited by research in Information Systems and Management (112 citations), Marketing (119 citations), Organizational Behavior and Human Resource Management (44 citations), Sociology and Political Science (184 citations) and Polymers and Plastics (53 citations). Linlin Zhu has collaborated with scholars based in China, United States and New Zealand. Frequent co-authors include Wu He, Li He, Feng‐Kwei Wang, Haotian Sun, Yanshuai Cui, Shengfu Chen, Longgang Wang, He Li, Qinghua Yang and Tiejun Shi. Their work appears in journals such as Chinese Journal of Chemistry, Dyes and Pigments, Applied Surface Science, Materials Science and Engineering C and New Journal of Chemistry.

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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