Shanshan Zha

449 citations
13 papers · 357 indexed · h-index 11
Topics
Advanced Manufacturing and Logistics Optimization (5 papers)Digital Transformation in Industry (3 papers)Industrial Vision Systems and Defect Detection (3 papers)
Partner nations
ChinaEgyptUnited States

In The Last Decade

Shanshan Zha

13 papers receiving 340 citations

Peers

Shanshan Zha
Comparison fields: 5 of 87
  • Industrial and Manufacturing Engineering 155
  • Materials Chemistry 49
  • Civil and Structural Engineering 48
  • Electrical and Electronic Engineering 38
  • Artificial Intelligence 29
Replace Franco Lombardi with:
Franco Lombardi Italy
Xiaobin Li China
Ranganath Kothamasu United States
Shahid Maqsood Pakistan
William H. VerDuin United States
Abdolreza Roshani Iran
Gaige Chen China
Yongkuk Jeong South Korea
Leijie Fu China
Brenno C. Menezes Qatar
Shanshan Zha relative to Franco Lombardi Italy Franco Lombardi's profile →
Citations per field
00.5×2.6×
Franco Lombardi · 1×
Citations per year

Countries citing papers authored by Shanshan Zha

Since Specialization
Citations

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

Fields of papers citing papers by Shanshan Zha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shanshan Zha

This figure shows the co-authorship network connecting the top 25 collaborators of Shanshan Zha. A scholar is included among the top collaborators of Shanshan Zha 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 Shanshan Zha. Shanshan Zha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 36
2 3
3 27
4 24
5 28
6 1
7 13
8 15
9 51
10 31
11 20
12 46
13 62

About Shanshan Zha

Shanshan Zha is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Modeling and Simulation, having authored 13 papers that have together received 357 indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (5 papers), Digital Transformation in Industry (3 papers) and Industrial Vision Systems and Defect Detection (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (155 citations), Metals and Alloys (21 citations) and Civil and Structural Engineering (48 citations). Shanshan Zha has collaborated with scholars based in China, Egypt and United States. Frequent co-authors include Shaohua Huang, Yu Guo, Weiguang Fang, Xuhui Zhao, Yu Zuo, Guo Yu, Weiguang Fang, Yicong Wang, Fangang Meng and Yu Guo. Their work appears in journals such as Applied Surface Science, Ecotoxicology and Environmental Safety and IEEE Internet of Things Journal.

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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