Chao Shang

5.1k citations
129 papers · 3.6k indexed · 3 hit papers · h-index 27

Chao Shang

121 papers receiving 3.5k citations

Hit Papers

End-to-End Structure-Aware Convolutional Networks ...3702014202620182022100200300400

Peers

Chao Shang
Comparison fields: 5 of 149
  • Control and Systems Engineering 1.9k
  • Statistics, Probability and Uncertainty 357
  • Applied Psychology 186
  • Analytical Chemistry 347
  • Artificial Intelligence 861
Replace Costas J. Spanos with:
Costas J. Spanos United States
José Valente de Oliveira Portugal
Iztok Fister Slovenia
Meiqin Liu China
Sungzoon Cho South Korea
Xiaofang Chen China
H. Pomares Spain
Piero Baraldi Italy
Martin Braun Germany
Michael S. Hamada United States
Chao Shang relative to Costas J. Spanos United States Costas J. Spanos's profile →
Citations per field
00.5×10×20×30×37.2×
Costas J. Spanos · 1×
Citations per year

Countries citing papers authored by Chao Shang

Since Specialization
Citations

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

Fields of papers citing papers by Chao Shang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20246
4 20241
5 20233
6 20232
7 20231
8 20227
9 202224
10 20227
11 20221
12 202121
13
Open Temporal Relation Extraction for Question Answering
20212
14 202141
15 202020
16 20191
17
Melt index prediction of polypropylene based on DBN-ELM
201610
18
Research on Link Prediction Problem in Scale-free Network
20122
19
Simulation of high pulse power circuit based on semiconductor switch RSD in SABER-Simulink Co-Simulation Environment and Experiment
20081
20
Design and experiment of RSD-based great power pulse generation circuit
20081

About Chao Shang

Chao Shang is a scholar working on Control and Systems Engineering, Statistics, Probability and Uncertainty and Applied Psychology, having authored 129 papers that have together received 3.6k indexed citations. Recurring topics across this work include Fault Detection and Control Systems (48 papers), Advanced Control Systems Optimization (34 papers), Control Systems and Identification (17 papers), Mineral Processing and Grinding (15 papers), Spectroscopy and Chemometric Analyses (10 papers), Risk and Portfolio Optimization (10 papers), Advanced Statistical Process Monitoring (9 papers) and Process Optimization and Integration (8 papers). The work is most often cited by research in Control and Systems Engineering (1.9k citations), Statistics, Probability and Uncertainty (357 citations) and Applied Psychology (186 citations). Chao Shang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Dexian Huang, Fan Yang, Fengqi You, Biao Huang, Xiaolin Huang, Jinbo Bi, Xinqing Gao, Xiaodong He, Jing Huang and Bowen Zhou. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Automatic Control and Scientific Reports.

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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