Guangdong Tian

7.6k citations
139 papers · 6.3k indexed · 1 hit paper · h-index 46
Topics
Manufacturing Process and Optimization (44 papers)Sustainable Supply Chain Management (26 papers)Scheduling and Optimization Algorithms (20 papers)
Partner nations
ChinaMacaoUnited States

In The Last Decade

Guangdong Tian

136 papers receiving 6.1k citations

Hit Papers

Exact and metaheuristic algorithms for the vehicle routin...2022202620232024202250100150

Peers

Guangdong Tian
Comparison fields: 5 of 147
  • Industrial and Manufacturing Engineering 2.7k
  • Strategy and Management 1.1k
  • Management Science and Operations Research 844
  • Mechanical Engineering 785
  • Automotive Engineering 775
Replace Amir M. Fathollahi‐Fard with:
Amir M. Fathollahi‐Fard Canada
Adil Baykasoğlu Türkiye
Erfan Babaee Tırkolaee Türkiye
K.L. Choy Hong Kong
Masoud Rabbani Iran
Mostafa Hajiaghaei–Keshteli Iran
Fariborz Jolai Iran
Jiafu Tang China
Sai‐Ho Chung Hong Kong
Shankar Chakraborty India
Guangdong Tian relative to Amir M. Fathollahi‐Fard Canada Amir M. Fathollahi‐Fard's profile →
Citations per field
00.5×3.8×
Amir M. Fathollahi‐Fard · 1×
Citations per year

Countries citing papers authored by Guangdong Tian

Since Specialization
Citations

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

Fields of papers citing papers by Guangdong Tian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guangdong Tian

This figure shows the co-authorship network connecting the top 25 collaborators of Guangdong Tian. A scholar is included among the top collaborators of Guangdong Tian based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guangdong Tian. Guangdong Tian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 1
3 7
4 2
5 13
6 23
7 58
8 6
9 10
10 22
11 94
12 25
13 86
14 59
15 79
16 10
17 26
18 142
19 124
20 7

About Guangdong Tian

Guangdong Tian is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Strategy and Management, having authored 139 papers that have together received 6.3k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (44 papers), Sustainable Supply Chain Management (26 papers) and Scheduling and Optimization Algorithms (20 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (2.7k citations), Strategy and Management (1.1k citations) and Management of Technology and Innovation (481 citations). Guangdong Tian has collaborated with scholars based in China, Macao and United States. Frequent co-authors include MengChu Zhou, Zhiwu Li, Yixiong Feng, Honghao Zhang, Amir M. Fathollahi‐Fard, Yaping Ren, Jiangwei Chu, Chaoyong Zhang, Yong Peng and Peigen Li. Their work appears in journals such as Renewable and Sustainable Energy Reviews, PLoS ONE and Journal of Cleaner Production.

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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