Bing Mao

2.5k citations
121 papers · 1.5k · h-index 21

Impact in

Papers in

Bing Mao

117 papers receiving 1.4k citations

Peers

Bing Mao
Comparison fields: 5 of 134
  • Complementary and alternative medicine 147
  • Software 70
  • Signal Processing 144
  • Soil Science 113
  • Pharmacology 79
Replace Sujuan Wang with:
Sujuan Wang China
Defang Li China
Gareth Owen United Kingdom
Sabina Bijlsma Netherlands
Li Fu China
Mingming Cao China
Hongsheng Liu China
Barry Demchak United States
Ashok K. Singh India
Qunfang Zhang China
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Citations per field
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Sujuan Wang · 1×
Citations per year

Countries citing papers authored by Bing Mao

Since Specialization
Citations

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

Fields of papers citing papers by Bing Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007125
2 201870
3 201660
4 201554
5 201447
6 201641
7
Compound salvia pellet, a traditional Chinese medicine, for the treatment of chronic stable angina pectoris compared with nitrates: a meta-analysis.
200641
8 201435
9 201729
10 201928
11 201027
12 200727
13 201427
14 201526
15 200726
16 201025
17 201825
18 202124
19 200924
20 201422

About Bing Mao

Bing Mao is a scholar working on Pulmonary and Respiratory Medicine, Signal Processing, Artificial Intelligence, Molecular Biology and Computer Networks and Communications, having authored 121 papers that have together received 1.5k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (20 papers), Security and Verification in Computing (18 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (17 papers), Respiratory and Cough-Related Research (11 papers), Network Security and Intrusion Detection (10 papers), Analytical Chemistry and Chromatography (9 papers), Soil Carbon and Nitrogen Dynamics (9 papers) and Pediatric health and respiratory diseases (5 papers). The work is most often cited by research in Complementary and alternative medicine (147 citations), Software (70 citations), Signal Processing (144 citations), Soil Science (113 citations) and Pharmacology (79 citations). Bing Mao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xiawei Zhang, Wei Liu, Ting-qian Li, Zhihong Ge, De‐Hui Zeng, Tao Fan, Zeyu Xiong, Juan Fu, Xie Li and Gang Wang. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Journal of Liquid Chromatography & Related Technologies, Journal of Pharmaceutical and Biomedical Analysis, Trials and BMJ Open.

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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