Minbo Li

30 papers receiving 379 citations

Minbo Li's Hit Papers

Identification of novel umami peptides from oyster hydrolysate and the mechanisms underlying their taste characteristics using machine learning 2025 · 27 citations
270Years since publication510152025

Peers

Minbo Li
Comparison fields: 5 of 78
  • Renewable Energy, Sustainability and the Environment 113
  • Catalysis 35
  • Industrial and Manufacturing Engineering 31
  • Food Science 52
  • Computer Networks and Communications 65
Replace A. Jabbari with:
A. Jabbari Iran
Yuxuan Wang China
Yali Zhao China
Rosario Arjona Spain
Zheng Wan China
Tobias Albrecht Germany
Yicheng Yu China
Mengwan Li China
Jun Xia China
Minbo Li relative to A. Jabbari Iran A. Jabbari's profile →
Citations per field
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A. Jabbari · 1×
Citations per year

Countries citing papers authored by Minbo Li

Since Specialization
Citations

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

Fields of papers citing papers by Minbo Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201864
2 201948
3 201337
4 202136
5
Identification of novel umami peptides from oyster hydrolysate and the mechanisms underlying their taste characteristics using machine learning
Hit paper breakdown →
202527
6 200424
7 202122
8 202221
9 201120
10 201917
11 201311
12 20228
13 20118
14 20187
15 20155
16 20155
17 20245
18 20125
19 20224
20 20093

About Minbo Li

Minbo Li is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering and Media Technology, having authored 30 papers that have together received 397 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (6 papers), Context-Aware Activity Recognition Systems (4 papers), RFID technology advancements (4 papers), IoT-based Smart Home Systems (4 papers), Advanced Photocatalysis Techniques (3 papers), IoT and GPS-based Vehicle Safety Systems (3 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Caching and Content Delivery (3 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (113 citations), Catalysis (35 citations), Industrial and Manufacturing Engineering (31 citations), Food Science (52 citations) and Computer Networks and Communications (65 citations). Minbo Li has collaborated with scholars based in China, Singapore and Thailand. Frequent co-authors include Zhu Zhu, Junjie Yi, Xuxu Wang, Zizhong Zhang, Tao Sun, Ying Wang, Fuying Li, Yang Liu, Na Tong and Huijuan Huang. Their work appears in journals such as Food Chemistry, Journal of Catalysis, Current Research in Food Science, International Journal of Production Economics and Catalysis Science & Technology.

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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