Mengda Cao

698 citations
36 papers · 547 · h-index 13

Impact in

Papers in

Mengda Cao

34 papers receiving 540 citations

Peers

Mengda Cao
Comparison fields: 5 of 98
  • Automotive Engineering 109
  • Cancer Research 80
  • Molecular Biology 251
  • Safety, Risk, Reliability and Quality 27
  • Electrical and Electronic Engineering 135
Replace Shengjun Liao with:
Shengjun Liao China
Alex Reis Brazil
Zhengyuan Wang United States
Zheng-Gang Chen China
Yuji Ito Japan
Rongheng Li China
Takashi Takeda Japan
Peiheng Li China
Guanru Li China
Jingjing Sun China
Mengda Cao relative to Shengjun Liao China Shengjun Liao's profile →
Citations per field
00.5×3.4×
Shengjun Liao · 1×
Citations per year

Countries citing papers authored by Mengda Cao

Since Specialization
Citations

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

Fields of papers citing papers by Mengda Cao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202090
2 201954
3 202245
4 201936
5 202131
6 201827
7 200623
8 201922
9 202219
10 201719
11 201717
12 201716
13 202114
14 202312
15 202011
16 202411
17 202211
18 202410
19 201910
20 20099

About Mengda Cao

Mengda Cao is a scholar working on Electrical and Electronic Engineering, Automotive Engineering, Molecular Biology, Control and Systems Engineering and Safety, Risk, Reliability and Quality, having authored 36 papers that have together received 547 indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (10 papers), Advancements in Battery Materials (5 papers), Mast cells and histamine (3 papers), Fault Detection and Control Systems (3 papers), Cancer-related gene regulation (3 papers), Reliability and Maintenance Optimization (3 papers), Food Allergy and Anaphylaxis Research (3 papers) and RNA modifications and cancer (3 papers). The work is most often cited by research in Automotive Engineering (109 citations), Cancer Research (80 citations), Molecular Biology (251 citations), Safety, Risk, Reliability and Quality (27 citations) and Electrical and Electronic Engineering (135 citations). Mengda Cao has collaborated with scholars based in China and United States. Frequent co-authors include Ji‐Fu Wei, Tao Zhang, Tao Zhang, Wei Zhu, Jingzi Wang, Yajie Liu, Haiwei Yang, Jia Wang, Jun Xu and Lingjun Zhu. Their work appears in journals such as Journal of Energy Storage, International Journal of Molecular Medicine, ACS Nano, Frontiers in Immunology and Solar Energy.

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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