Lin Shang

2.6k citations
92 papers · 1.5k · h-index 19

Impact in

    • Rough Sets and Fuzzy Logic
    • Advanced Multi-Objective Optimization Algorithms
    • Metaheuristic Optimization Algorithms Research
    • Evolutionary Algorithms and Applications
    • Imbalanced Data Classification Techniques
    • Text and Document Classification Technologies

Papers in

Lin Shang

81 papers receiving 1.5k citations

Peers

Lin Shang
Comparison fields: 5 of 108
  • Computational Theory and Mathematics 668
  • Artificial Intelligence 863
  • Information Systems 361
  • Management Science and Operations Research 178
  • Computer Vision and Pattern Recognition 208
Replace Cezary Z. Janikow with:
Cezary Z. Janikow United States
Zongxia Xie China
Krzysztof Socha Belgium
Roman W. Świniarski United States
Rachid Chelouah France
Lei Lei China
Daniel Yeung Hong Kong
T.D. Gedeon Australia
Deqiang Han China
Kumara Sastry United States
Lin Shang relative to Cezary Z. Janikow United States Cezary Z. Janikow's profile →
Citations per field
00.5×6.5×
Cezary Z. Janikow · 1×
Citations per year

Countries citing papers authored by Lin Shang

Since Specialization
Citations

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

Fields of papers citing papers by Lin Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 92 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012170
2 2015130
3 2012108
4 2013105
5 201279
6 201674
7 201967
8 201362
9 202057
10 201942
11 201440
12 202032
13 202332
14 201931
15
Prostate weight: an independent predictor for positive surgical margins during robotic-assisted laparoscopic radical prostatectomy.
200721
16 202320
17 201620
18 202020
19 202020
20 201318

About Lin Shang

Lin Shang is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Information Systems and Mechanical Engineering, having authored 92 papers that have together received 1.5k indexed citations. Recurring topics across this work include Rough Sets and Fuzzy Logic (17 papers), Evolutionary Algorithms and Applications (15 papers), Imbalanced Data Classification Techniques (15 papers), Metaheuristic Optimization Algorithms Research (13 papers), Data Mining Algorithms and Applications (11 papers), Text and Document Classification Technologies (10 papers), Hydraulic Fracturing and Reservoir Analysis (7 papers) and Financial Distress and Bankruptcy Prediction (6 papers). The work is most often cited by research in Computational Theory and Mathematics (668 citations), Artificial Intelligence (863 citations), Information Systems (361 citations), Management Science and Operations Research (178 citations) and Computer Vision and Pattern Recognition (208 citations). Lin Shang has collaborated with scholars based in China, New Zealand and Canada. Frequent co-authors include Xiuyi Jia, Bing Xue, Zhenmin Tang, Wenhe Liao, Liam Cervante, Mengjie Zhang, Will N. Browne, Xing Liu, Bing Zhou and Yiyu Yao. Their work appears in journals such as Pattern Recognition Letters, Petroleum Science, IEEE Computational Intelligence Magazine, Information Sciences and International Journal of Approximate Reasoning.

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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