Jinfeng Liu

2.4k citations
87 papers · 1.8k indexed · 1 hit paper · h-index 19

Jinfeng Liu

79 papers receiving 1.7k citations

Hit Papers

Distributed model predictive control: A tutorial review a...6762012202620162021200400600

Peers

Jinfeng Liu
Comparison fields: 5 of 104
  • Industrial and Manufacturing Engineering 590
  • Control and Systems Engineering 713
  • Automotive Engineering 142
  • Computer Networks and Communications 213
  • Mechanical Engineering 340
Replace Jason Yon with:
Jason Yon United Kingdom
R. Raja Singh India
Yunfeng Zhang Singapore
Antonio José Calderón Spain
Edward H. Glaessgen United States
David S. Stargel United States
Moneer Helu United States
Guofu Ding China
Yu Zheng China
Jinfeng Liu relative to Jason Yon United Kingdom Jason Yon's profile →
Citations per field
00.5×2.7×
Jason Yon · 1×
Citations per year

Countries citing papers authored by Jinfeng Liu

Since Specialization
Citations

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

Fields of papers citing papers by Jinfeng Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20251
3 20250
4 20242
5 20242
6 20235
7 20232
8 202313
9 20239
10 202310
11 202140
12 20202
13 20203
14 2019121
15 20191
16
Quantitative Description of Microscopic Fabric Based on Sand Particle Shapes
20168
17
Construction of Bio-Engineering Comprehensive Experimental Teaching Innovation System
20151
18 20150
19
Air Quality Assessment in Public Transportation Vehicles in Beijing
20083
20
Design of differential optical system of in-plane remote displacement measurement
20030

About Jinfeng Liu

Jinfeng Liu is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Safety, Risk, Reliability and Quality, having authored 87 papers that have together received 1.8k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (29 papers), Digital Transformation in Industry (14 papers), Advanced machining processes and optimization (11 papers), Engineering Technology and Methodologies (9 papers), Gear and Bearing Dynamics Analysis (7 papers), Technology Assessment and Management (6 papers), Embedded Systems Design Techniques (5 papers) and Mechanical Behavior of Composites (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (590 citations), Control and Systems Engineering (713 citations) and Automotive Engineering (142 citations). Jinfeng Liu has collaborated with scholars based in China, United States and Spain. Frequent co-authors include Panagiotis D. Christofides, David Muñoz de la Peña, Riccardo Scattolini, Honggen Zhou, Xiaojun Liu, Pai H. Chou, Xuwen Jing, Chulsung Park, Bingqiang Li and Zhonghua Ni. Their work appears in journals such as Journal of Cleaner Production, Scientific Reports and IEEE Access.

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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