Bing Mao

2.5k citations
136 papers · 1.9k · h-index 25

Impact in

Papers in

Bing Mao

133 papers receiving 1.9k citations

Peers

Bing Mao
Comparison fields: 5 of 136
  • Signal Processing 477
  • Software 139
  • Complementary and alternative medicine 158
  • Soil Science 117
  • Artificial Intelligence 413
Replace Kazuhide Fukushima with:
Kazuhide Fukushima Japan
Mingming Cao China
G Vogel Germany
Wout Bittremieux Belgium
Mengzhi Wang China
Jianzhong Li China
Gareth Owen United Kingdom
Fabien Jourdan France
Bing Mao relative to Kazuhide Fukushima Japan Kazuhide Fukushima's profile →
Citations per field
00.5×20×40×58.5×
Kazuhide Fukushima · 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 136 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009130
2 2007129
3 201871
4 201663
5 201555
6 201452
7 201448
8
Compound salvia pellet, a traditional Chinese medicine, for the treatment of chronic stable angina pectoris compared with nitrates: a meta-analysis.
200646
9 201641
10 201438
11 200735
12 201734
13 201434
14 201831
15 201029
16 201929
17 201529
18 200928
19 201427
20 200727

About Bing Mao

Bing Mao is a scholar working on Signal Processing, Pulmonary and Respiratory Medicine, Artificial Intelligence, Computer Networks and Communications and Software, having authored 136 papers that have together received 1.9k indexed citations. Recurring topics across this work include Advanced Malware Detection Techniques (34 papers), Security and Verification in Computing (29 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (16 papers), Network Security and Intrusion Detection (15 papers), Respiratory and Cough-Related Research (11 papers), Soil Carbon and Nitrogen Dynamics (10 papers), Analytical Chemistry and Chromatography (9 papers) and Software Testing and Debugging Techniques (6 papers). The work is most often cited by research in Signal Processing (477 citations), Software (139 citations), Complementary and alternative medicine (158 citations), Soil Science (117 citations) and Artificial Intelligence (413 citations). Bing Mao has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Xie Li, Ping Chen, Xiawei Zhang, Xinchun Yin, Xiaobin Shen, Zhihong Ge, Wei Liu, Ting-qian Li, De‐Hui Zeng and Hai Xiao. Their work appears in journals such as Journal of Liquid Chromatography & Related Technologies, Evidence-based Complementary and Alternative Medicine, Journal of Pharmaceutical and Biomedical Analysis, Trials and Frontiers in Plant Science.

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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