Jian Mao

1.7k citations
93 papers · 836 indexed · h-index 15

Jian Mao

80 papers receiving 800 citations

Peers

Jian Mao
Comparison fields: 5 of 128
  • Industrial and Manufacturing Engineering 298
  • Mechanical Engineering 304
  • Automotive Engineering 92
  • Management of Technology and Innovation 36
  • Computational Mechanics 78
Replace Robert R. Lipman with:
Robert R. Lipman United States
Jun Zheng China
Ian Stroud Switzerland
Yi Cai China
Young H. Park United States
Shahid Ikramullah Butt Pakistan
Honggen Zhou China
Andrés Tovar United States
Hyun Soo Kim South Korea
Jian Mao relative to Robert R. Lipman United States Robert R. Lipman's profile →
Citations per field
00.5×1.5×
Robert R. Lipman · 1×
Citations per year

Countries citing papers authored by Jian Mao

Since Specialization
Citations

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

Fields of papers citing papers by Jian Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20252
2 20251
3 20250
4 20241
5 20242
6 20241
7 20233
8 202322
9 20223
10 202219
11 20204
12 202024
13 20161
14 20169
15 20132
16
An Improved KNN Text Categorization Algorithm Based on Density
20121
17 20112
18
Manufacturing error modeling based on homogeneous transformation
20082
19
Design and Realization of Information Security Management System
20070
20 20065

About Jian Mao

Jian Mao is a scholar working on Industrial and Manufacturing Engineering, Mechanical Engineering and Management of Technology and Innovation, having authored 93 papers that have together received 836 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (20 papers), Advanced machining processes and optimization (19 papers), Advanced Surface Polishing Techniques (9 papers), Advanced Numerical Analysis Techniques (8 papers), Advanced Machining and Optimization Techniques (6 papers), Industrial Vision Systems and Defect Detection (6 papers), Additive Manufacturing and 3D Printing Technologies (5 papers) and Additive Manufacturing Materials and Processes (5 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (298 citations), Mechanical Engineering (304 citations) and Automotive Engineering (92 citations). Jian Mao has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Xun Xu, Fred Proctor, Stephen T. Newman, Chen Wang, Steven Y. Liang, Christian C. Naus, Charles F. Bolton, Peter Ainsworth, Angelika F. Hahn and Kai Zhang. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Cleaner Production and Scientific Reports.

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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