Qicheng Ma

6.6k total citations · 2 hit papers
22 papers, 2.6k citations indexed

About

Qicheng Ma is a scholar working on Molecular Biology, Artificial Intelligence and Computer Networks and Communications. According to data from OpenAlex, Qicheng Ma has authored 22 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 4 papers in Artificial Intelligence and 3 papers in Computer Networks and Communications. Recurrent topics in Qicheng Ma's work include Machine Learning in Bioinformatics (6 papers), CRISPR and Genetic Engineering (4 papers) and Genomics and Phylogenetic Studies (3 papers). Qicheng Ma is often cited by papers focused on Machine Learning in Bioinformatics (6 papers), CRISPR and Genetic Engineering (4 papers) and Genomics and Phylogenetic Studies (3 papers). Qicheng Ma collaborates with scholars based in United States, Switzerland and China. Qicheng Ma's co-authors include Peter M. Finan, Jessica L. Yecies, Pichai Raman, Brendan D. Manning, Matthew G. Vander Heiden, Clary B. Clish, Amanda L. Souza, Suchithra Menon, Leon O. Murphy and Jeffrey P. MacKeigan and has published in prestigious journals such as Nature, Nucleic Acids Research and Molecular Cell.

In The Last Decade

Qicheng Ma

22 papers receiving 2.6k citations

Hit Papers

Activation of a Metabolic Gene Regulatory Network Downstr... 2010 2026 2015 2020 2010 2012 500 1000 1.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Qicheng Ma United States 13 1.8k 554 355 308 260 22 2.6k
Pichai Raman United States 18 1.9k 1.0× 885 1.6× 478 1.3× 429 1.4× 265 1.0× 45 2.9k
David G. Pisano Spain 34 2.0k 1.1× 718 1.3× 521 1.5× 305 1.0× 179 0.7× 65 3.0k
Rodolfo Iuliano Italy 28 1.7k 0.9× 631 1.1× 327 0.9× 519 1.7× 211 0.8× 75 2.6k
Wing H. Wong United States 15 2.7k 1.5× 548 1.0× 489 1.4× 235 0.8× 155 0.6× 21 3.8k
Anindita Bhoumik United States 25 1.8k 1.0× 506 0.9× 508 1.4× 310 1.0× 255 1.0× 34 2.4k
Michael Khan United Kingdom 24 2.0k 1.1× 493 0.9× 796 2.2× 258 0.8× 393 1.5× 62 3.4k
Megan L. Wojciechowicz United States 10 1.5k 0.8× 429 0.8× 301 0.8× 435 1.4× 160 0.6× 13 2.6k
Oussema Souiai Tunisia 7 1.7k 0.9× 508 0.9× 300 0.8× 279 0.9× 135 0.5× 10 2.6k
Yin Xia China 31 1.8k 1.0× 309 0.6× 203 0.6× 236 0.8× 284 1.1× 132 4.6k
Ellen Triantafellow United States 7 2.2k 1.2× 895 1.6× 301 0.8× 434 1.4× 296 1.1× 9 3.2k

Countries citing papers authored by Qicheng Ma

Since Specialization
Citations

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

Fields of papers citing papers by Qicheng Ma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qicheng Ma

This figure shows the co-authorship network connecting the top 25 collaborators of Qicheng Ma. A scholar is included among the top collaborators of Qicheng Ma 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 Qicheng Ma. Qicheng Ma 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
1.
Cai, Songtao, et al.. (2024). Knowledge Graph Multi-Hop Question Answering Based on Dependent Syntactic Semantic Augmented Graph Networks. Electronics. 13(8). 1436–1436. 2 indexed citations
2.
Cai, Songtao, et al.. (2023). Semantically Guided Enhanced Fusion for Intent Detection and Slot Filling. Applied Sciences. 13(22). 12202–12202. 2 indexed citations
3.
Yang, Nachen, Reazur Rahman, Qicheng Ma, et al.. (2022). Transposable element landscapes in aging Drosophila. PLoS Genetics. 18(3). e1010024–e1010024. 22 indexed citations
4.
Ma, Qicheng, Stephanie Gamez, Gargi Dayama, et al.. (2021). A mosquito small RNA genomics resource reveals dynamic evolution and host responses to viruses and transposons. Genome Research. 31(3). 512–528. 22 indexed citations
5.
Ma, Qicheng, et al.. (2020). DANTE: Predicting Insider Threat using LSTM on system logs. 1151–1156. 15 indexed citations
6.
Esse, Ruben, et al.. (2019). Interplay between small RNA pathways shapes chromatin landscapes in C. elegans. Nucleic Acids Research. 47(11). 5603–5616. 19 indexed citations
7.
Zeldich, Ella, Ci-Di Chen, Andrea Yuste, et al.. (2019). Klotho Is Neuroprotective in the Superoxide Dismutase (SOD1G93A) Mouse Model of ALS. Journal of Molecular Neuroscience. 69(2). 264–285. 31 indexed citations
8.
Hao, Huai-Xiang, Yang Xie, Yue Zhang, et al.. (2012). ZNRF3 promotes Wnt receptor turnover in an R-spondin-sensitive manner. Nature. 485(7397). 195–200. 709 indexed citations breakdown →
9.
Düvel, Katrin, Jessica L. Yecies, Suchithra Menon, et al.. (2010). Activation of a Metabolic Gene Regulatory Network Downstream of mTOR Complex 1. DSpace@MIT (Massachusetts Institute of Technology). 2 indexed citations
10.
Düvel, Katrin, Jessica L. Yecies, Suchithra Menon, et al.. (2010). Activation of a Metabolic Gene Regulatory Network Downstream of mTOR Complex 1. Molecular Cell. 39(2). 171–183. 1582 indexed citations breakdown →
11.
Ma, Qicheng, Gung‐Wei Chirn, Joseph D. Szustakowski, et al.. (2008). Uncovering mechanisms of transcriptional regulations by systematic mining of cis regulatory elements with gene expression profiles. BioData Mining. 1(1). 4–4. 13 indexed citations
12.
Ma, Qicheng, et al.. (2007). A Utility-Based Approach to Bandwidth Allocation and Link Scheduling in Wireless Networks. Digital Access to Scholarship at Harvard (DASH) (Harvard University). 8 indexed citations
13.
14.
Ma, Qicheng, J.T.L. Wang, Dennis Shasha, & Cathy Wu. (2001). DNA sequence classification via an expectation maximization algorithm and neural networks: a case study. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 31(4). 468–475. 29 indexed citations
15.
Ma, Qicheng & Jason Wang. (2000). Evaluating the Significance of Sequence Motifs by the Minimum Description Length Principle. 798–801. 2 indexed citations
16.
Wang, Jason T. L., Xiong Wang, Dennis Shasha, et al.. (2000). An approximate search engine for structural databases. 584–584. 1 indexed citations
17.
Wang, Jason T. L., Xiong Wang, Dennis Shasha, et al.. (2000). An approximate search engine for structural databases. ACM SIGMOD Record. 29(2). 584–584. 1 indexed citations
18.
Wang, Jason T. L., Qicheng Ma, Dennis Shasha, & Cathy Wu. (2000). Application of neural networks to biological data mining. 305–309. 31 indexed citations
19.
Ma, Qicheng, et al.. (1999). Application of Bayesian Neural Networks to Protein Sequence Classification.. International Conference on Artificial Intelligence. 530–536. 3 indexed citations
20.
Ma, Qicheng & Jason Tsong-Li Wang. (1999). BIOLOGICAL DATA MINING USING BAYESIAN NEURAL NETWORKS: A CASE STUDY. International Journal of Artificial Intelligence Tools. 8(4). 433–451. 9 indexed citations

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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