Maolin Shi

1.6k citations
51 papers · 1.3k · 1 hit paper · h-index 17

Impact in

Papers in

Maolin Shi

47 papers receiving 1.2k citations

Maolin Shi's Hit Papers

Recurrent neural networks for real-time prediction of TBM operating parameters 2018 · 246 citations
2460+2+5Years since publication50100150200

Peers

Maolin Shi
Comparison fields: 5 of 109
  • Civil and Structural Engineering 705
  • Ocean Engineering 432
  • Statistics, Probability and Uncertainty 101
  • Safety, Risk, Reliability and Quality 113
  • Mechanics of Materials 259
Replace Beom-Seon Jang with:
Beom-Seon Jang South Korea
Geoff Rideout Canada
M.R. Haddara Canada
Yunlai Zhou China
Beibei Xu China
Thanh Bui-Tien Vietnam
Thanh Cuong‐Le Vietnam
Yaoyu Li United States
Alasdair McDonald United Kingdom
Maolin Shi relative to Beom-Seon Jang South Korea Beom-Seon Jang's profile →
Citations per field
00.5×2.8×
Beom-Seon Jang · 1×
Citations per year

Countries citing papers authored by Maolin Shi

Since Specialization
Citations

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

Fields of papers citing papers by Maolin Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recurrent neural networks for real-time prediction of TBM operating parameters
Hit paper breakdown →
2018246
2 2018152
3 2022107
4 202080
5 201971
6 201753
7 201951
8 202149
9 202343
10 202232
11 201930
12 202129
13 201927
14 202421
15 201820
16 202318
17 201917
18 201816
19 202216
20 201716

About Maolin Shi

Maolin Shi is a scholar working on Mechanical Engineering, Civil and Structural Engineering, Ocean Engineering, Computational Theory and Mathematics and Mechanics of Materials, having authored 51 papers that have together received 1.3k indexed citations. Recurring topics across this work include Tunneling and Rock Mechanics (15 papers), Drilling and Well Engineering (12 papers), Mineral Processing and Grinding (8 papers), Advanced Multi-Objective Optimization Algorithms (8 papers), Probabilistic and Robust Engineering Design (7 papers), Advanced machining processes and optimization (5 papers), Rock Mechanics and Modeling (5 papers) and Agricultural Engineering and Mechanization (5 papers). The work is most often cited by research in Civil and Structural Engineering (705 citations), Ocean Engineering (432 citations), Statistics, Probability and Uncertainty (101 citations), Safety, Risk, Reliability and Quality (113 citations) and Mechanics of Materials (259 citations). Maolin Shi has collaborated with scholars based in China, Australia and Canada. Frequent co-authors include Xueguan Song, Chao Zhang, Sun We, Hongwei Zhang, Junhong Zhao, Liye Lv, Jian Zhang, Liyong Zhang, Lizhang Xu and Muxi Li. Their work appears in journals such as Mechanical Systems and Signal Processing, Knowledge-Based Systems, Structural and Multidisciplinary Optimization, Automation in Construction and Nuclear Engineering and Technology.

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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