Changjing Shang

3.2k citations
169 papers · 2.3k · 1 hit paper · h-index 27

Impact in

Papers in

Changjing Shang

156 papers receiving 2.3k citations

Changjing Shang's Hit Papers

Multi-objective robust optimisation model for MDVRPLS in refined oil distribution 2021 · 169 citations
1690+1+3Years since publication50100150

Peers

Changjing Shang
Comparison fields: 5 of 131
  • Artificial Intelligence 889
  • Computer Vision and Pattern Recognition 498
  • Media Technology 186
  • Computational Theory and Mathematics 309
  • Control and Systems Engineering 368
Replace Shibo He with:
Shibo He China
Paolo Nesi Italy
Maozhen Li United Kingdom
Jiguo Yu China
Xiaochun Cheng United Kingdom
George A. Papakostas Greece
Ouri Wolfson United States
Marco Wiering Netherlands
Siti Mariyam Shamsuddin Malaysia
Jing Zhao China
Changjing Shang relative to Shibo He China Shibo He's profile →
Citations per field
00.5×1.7×
Shibo He · 1×
Citations per year

Countries citing papers authored by Changjing Shang

Since Specialization
Citations

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

Fields of papers citing papers by Changjing Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 169 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Multi-objective robust optimisation model for MDVRPLS in refined oil distribution
Hit paper breakdown →
2021169
2 202191
3 201875
4 201957
5 202150
6 201848
7 201145
8 202044
9 201844
10 201144
11 201242
12 201639
13 201838
14 202035
15 202134
16 202133
17 201933
18 201932
19 201731
20 202031

About Changjing Shang

Changjing Shang is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Control and Systems Engineering and Media Technology, having authored 169 papers that have together received 2.3k indexed citations. Recurring topics across this work include Fuzzy Logic and Control Systems (34 papers), Neural Networks and Applications (32 papers), Rough Sets and Fuzzy Logic (26 papers), Image Retrieval and Classification Techniques (17 papers), Robot Manipulation and Learning (11 papers), Multi-Criteria Decision Making (9 papers), Remote-Sensing Image Classification (9 papers) and Robotic Path Planning Algorithms (9 papers). The work is most often cited by research in Artificial Intelligence (889 citations), Computer Vision and Pattern Recognition (498 citations), Media Technology (186 citations), Computational Theory and Mathematics (309 citations) and Control and Systems Engineering (368 citations). Changjing Shang has collaborated with scholars based in United Kingdom, China and Taiwan. Frequent co-authors include Qiang Shen, Ying Li, Fei Chao, Longzhi Yang, Changle Zhou, Xiang Li, Chih‐Min Lin, Tianhua Chen, Fangyi Li and Dave Barnes. Their work appears in journals such as Knowledge-Based Systems, IEEE Transactions on Fuzzy Systems, Neurocomputing, IEEE Transactions on Cybernetics and Soft Computing.

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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