Huiming Peng

982 total citations
33 papers, 540 citations indexed

About

Huiming Peng is a scholar working on Molecular Biology, Hematology and Signal Processing. According to data from OpenAlex, Huiming Peng has authored 33 papers receiving a total of 540 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Hematology and 6 papers in Signal Processing. Recurrent topics in Huiming Peng's work include Direction-of-Arrival Estimation Techniques (6 papers), Multiple Myeloma Research and Treatments (5 papers) and Advanced Adaptive Filtering Techniques (4 papers). Huiming Peng is often cited by papers focused on Direction-of-Arrival Estimation Techniques (6 papers), Multiple Myeloma Research and Treatments (5 papers) and Advanced Adaptive Filtering Techniques (4 papers). Huiming Peng collaborates with scholars based in China, United States and Germany. Huiming Peng's co-authors include Jian Shen, Xiaobo Zhou, Weiling Zhao, Erich Gulbins, Zhiwei Ji, Dan Wu, Xiaobo Zhou, Jing Su, Jianguo Wen and Hongwei Li and has published in prestigious journals such as Bioinformatics, PLoS ONE and Scientific Reports.

In The Last Decade

Huiming Peng

29 papers receiving 534 citations

Peers

Huiming Peng
Comparison fields: 5 of 93
  • Molecular Biology 304
  • Immunology 98
  • Oncology 87
  • Cancer Research 54
  • Molecular Medicine 53
Replace Martina Maurer with:
Martina Maurer Switzerland
Yufei Xiao China
Ximeng Han China
Saurabh Agarwal United States
Bhaskar Dutta United States
Haihe Wang China
Michael Ederer Germany
O. Joseph Trask United States
Wanshan Ning China
Kouhei Shimizu Japan
Martina Maurer Switzerland View profile →
Citations per field, relative to Huiming Peng
Huiming Peng · 1×
Citations per year, relative to Huiming Peng
Huiming Peng · 1×

Countries citing papers authored by Huiming Peng

Since Specialization
Citations

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

Fields of papers citing papers by Huiming Peng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Huiming Peng

This figure shows the co-authorship network connecting the top 25 collaborators of Huiming Peng. A scholar is included among the top collaborators of Huiming Peng based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huiming Peng. Huiming Peng is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 6
3 0
4 0
5 2
6 4
7 7
8 18
9 9
10 33
11 35
12 20
13 65
14 35
15 14
16 28
17
NFkb pathway modeling for optimal drug combination therapy on multiple myeloma
0
18 10
19 5
20 15

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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