Lida Shen

6.0k citations
230 papers · 4.9k · 1 hit paper · h-index 36

Impact in

Papers in

Lida Shen

219 papers receiving 4.6k citations

Lida Shen's Hit Papers

Mg bone implant: Features, developments and perspectives 2019 · 359 citations
3590+2+4Years since publication100200300

Peers

Lida Shen
Comparison fields: 5 of 140
  • Automotive Engineering 1.2k
  • Biomaterials 767
  • Mechanical Engineering 2.0k
  • Orthodontics 219
  • Biomedical Engineering 1.9k
Replace Xiaojian Wang with:
Xiaojian Wang China
Wan Sharuzi Wan Harun Malaysia
Vamsi Krishna Balla India
Naoyuki Nomura Japan
Lidy E. Fratila‐Apachitei Netherlands
Liqiang Wang China
Narendra B. Dahotre United States
Shuo Yin China
Jan Schrooten Belgium
John W. Halloran United States
Lida Shen relative to Xiaojian Wang China Xiaojian Wang's profile →
Citations per field
00.5×1.5×2.0×
Xiaojian Wang · 1×
Citations per year

Countries citing papers authored by Lida Shen

Since Specialization
Citations

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

Fields of papers citing papers by Lida Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 230 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Mg bone implant: Features, developments and perspectives
Hit paper breakdown →
2019359
2 2019191
3 2018168
4 2018147
5 2019134
6 2018124
7 2019119
8 2019107
9 2020105
10 2017100
11 202297
12 202297
13 201995
14 201993
15 202288
16 202177
17 202267
18 202164
19 200862
20 202160

About Lida Shen

Lida Shen is a scholar working on Mechanical Engineering, Biomedical Engineering, Electrical and Electronic Engineering, Automotive Engineering and Materials Chemistry, having authored 230 papers that have together received 4.9k indexed citations. Recurring topics across this work include Additive Manufacturing Materials and Processes (59 papers), Additive Manufacturing and 3D Printing Technologies (45 papers), Bone Tissue Engineering Materials (39 papers), High Entropy Alloys Studies (34 papers), Electrodeposition and Electroless Coatings (33 papers), High-Temperature Coating Behaviors (29 papers), Metal and Thin Film Mechanics (24 papers) and Dental Implant Techniques and Outcomes (16 papers). The work is most often cited by research in Automotive Engineering (1.2k citations), Biomaterials (767 citations), Mechanical Engineering (2.0k citations), Orthodontics (219 citations) and Biomedical Engineering (1.9k citations). Lida Shen has collaborated with scholars based in China, United Kingdom and Pakistan. Frequent co-authors include Zongjun Tian, Deqiao Xie, Youwen Yang, Huixin Liang, Changjiang Wang, Mingbo Qiu, Wei Jiang, Cijun Shuai, Shuping Peng and Jianfeng Zhao. Their work appears in journals such as Ceramics International, The International Journal of Advanced Manufacturing Technology, Materials Research Express, Surface and Coatings Technology and Journal of Alloys and Compounds.

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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