Yi Shang

9.2k citations
224 papers · 6.2k indexed · 4 hit papers · h-index 38

Impact in

Papers in

Yi Shang

204 papers receiving 5.8k citations

Hit Papers

A survey and performance evaluation of deep learning methods for small object detection 2021 · 384 citations
3842003202620102018250500750

Peers

Yi Shang
Comparison fields: 5 of 202
  • Ocean Engineering 1.6k
  • Computer Networks and Communications 2.3k
  • Electrical and Electronic Engineering 2.5k
  • Artificial Intelligence 1.1k
  • Computer Vision and Pattern Recognition 614
Replace Hongyang Chen with:
Hongyang Chen China
Yuan Zhuang China
Liuqing Yang United States
Jianping Wang China
Prasant Mohapatra United States
Mingyan Liu United States
Cesare Alippi Italy
Lu Wang China
Kun Yang China
Takahiro Hara Japan
Yi Shang relative to Hongyang Chen China Hongyang Chen's profile →
Citations per field
00.5×1.5×2.1×
Hongyang Chen · 1×
Citations per year

Countries citing papers authored by Yi Shang

Since Specialization
Citations

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

Fields of papers citing papers by Yi Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20254
3 20251
4 20241
5 20240
6 20242
7 20242
8 20243
9 20230
10 201836
11 201721
12 201444
13
Efficient dominant point algorithms for the multiple longest common subsequence (MLCS) problem
20099
14
A new method for protein tertiary structure prediction
20071
15 200412
16
SAM: A Student Assessment and Modeling System.
20031
17
Open learning objects for data structure course
20033
18
Performance Evaluation of HITS-based Algorithms.
20021
19
Modular Robot Control and Continuous Constraint Satisfaction
20017
20
A Global Optimization Method for Neural Network Training
19961

About Yi Shang

Yi Shang is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Ocean Engineering and Computer Vision and Pattern Recognition, having authored 224 papers that have together received 6.2k indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (39 papers), Protein Structure and Dynamics (33 papers), Indoor and Outdoor Localization Technologies (28 papers), Underwater Vehicles and Communication Systems (24 papers), Machine Learning in Bioinformatics (18 papers), Mobile Ad Hoc Networks (15 papers), Enzyme Structure and Function (15 papers) and Genomics and Phylogenetic Studies (13 papers). The work is most often cited by research in Ocean Engineering (1.6k citations), Computer Networks and Communications (2.3k citations), Electrical and Electronic Engineering (2.5k citations), Artificial Intelligence (1.1k citations) and Computer Vision and Pattern Recognition (614 citations). Yi Shang has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Wheeler Ruml, Markus P. J. Fromherz, Ying Zhang, Hongchi Shi, Behnoush Rezaeianjouybari, Benjamin W. Wah, Dong Xu, Peng Sun, Yang Liu and Dan Wang. Their work appears in journals such as IEEE/ACM Transactions on Computational Biology and Bioinformatics, Proteins Structure Function and Bioinformatics, World Wide Web, Information Sciences and Measurement.

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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