Ning Shi

2.7k citations
79 papers · 2.2k · 1 hit paper · h-index 24

Impact in

Papers in

Ning Shi

76 papers receiving 2.1k citations

Ning Shi's Hit Papers

A multi-objective optimization for green supply chain network design 2010 · 498 citations
4980+5+10Years since publication100200300400

Peers

Ning Shi
Comparison fields: 5 of 107
  • Catalysis 279
  • Strategy and Management 466
  • Management Information Systems 249
  • Industrial and Manufacturing Engineering 266
  • Biomedical Engineering 772
Replace Bing Shen How with:
Bing Shen How Malaysia
Magnus Fröhling Germany
Ferenc Friedler Hungary
Sin Yong Teng Malaysia
Zainuddin Abdul Manan Malaysia
Cheng‐Liang Chen Taiwan
Denny K. S. Ng Malaysia
Ying Zuo China
Sheila Samsatli United Kingdom
Mengdi Zhang China
Ning Shi relative to Bing Shen How Malaysia Bing Shen How's profile →
Citations per field
00.5×11×
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Citations per year

Countries citing papers authored by Ning Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ning Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A multi-objective optimization for green supply chain network design
Hit paper breakdown →
2010498
2 2013207
3 2021139
4 201995
5 202286
6 201976
7 201971
8 201058
9 200757
10 202244
11 201941
12 201838
13 201732
14 202331
15 201430
16 201826
17 201626
18 201525
19 202025
20 201024

About Ning Shi

Ning Shi is a scholar working on Biomedical Engineering, Materials Chemistry, Mechanical Engineering, Industrial and Manufacturing Engineering and Electronic, Optical and Magnetic Materials, having authored 79 papers that have together received 2.2k indexed citations. Recurring topics across this work include Catalysis for Biomass Conversion (20 papers), Biofuel production and bioconversion (15 papers), Supercapacitor Materials and Fabrication (8 papers), Catalysis and Hydrodesulfurization Studies (8 papers), Vehicle Routing Optimization Methods (8 papers), Thermal and Kinetic Analysis (7 papers), Lignin and Wood Chemistry (6 papers) and Transportation Planning and Optimization (5 papers). The work is most often cited by research in Catalysis (279 citations), Strategy and Management (466 citations), Management Information Systems (249 citations), Industrial and Manufacturing Engineering (266 citations) and Biomedical Engineering (772 citations). Ning Shi has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Fan Wang, Xiaofan Lai, Qiying Liu, Tiejun Wang, Qi Zhang, Longlong Ma, Longlong Ma, Yifan Li, Jianan Gao and Bo Jiang. Their work appears in journals such as ACS Omega, Process Safety and Environmental Protection, ACS Sustainable Chemistry & Engineering, RSC Advances and Industrial Crops and Products.

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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