Daniel Liu

528 total citations
22 papers, 217 citations indexed

About

Daniel Liu is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Molecular Biology. According to data from OpenAlex, Daniel Liu has authored 22 papers receiving a total of 217 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 6 papers in Electrical and Electronic Engineering and 5 papers in Molecular Biology. Recurrent topics in Daniel Liu's work include Algorithms and Data Compression (4 papers), Genomics and Phylogenetic Studies (3 papers) and Machine Learning and Algorithms (2 papers). Daniel Liu is often cited by papers focused on Algorithms and Data Compression (4 papers), Genomics and Phylogenetic Studies (3 papers) and Machine Learning and Algorithms (2 papers). Daniel Liu collaborates with scholars based in United States, Taiwan and Singapore. Daniel Liu's co-authors include Ronald Yu, Hao Su, Michael P. Fitz, Ronald W. Busuttil, Hiroyuki Kato, Ana J. Coito, Sergio Duarte, Martin Steinegger, Shanchieh Jay Yang and Hao Su and has published in prestigious journals such as Bioinformatics, PLoS ONE and Proceedings of the VLDB Endowment.

In The Last Decade

Daniel Liu

21 papers receiving 212 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Liu United States 7 93 39 38 37 36 22 217
Shichao Yang China 10 46 0.5× 26 0.7× 64 1.7× 137 3.7× 16 0.4× 18 301
Zhanhao Zhang China 4 55 0.6× 19 0.5× 18 0.5× 31 0.8× 9 0.3× 9 184
Shiyu Liang China 9 90 1.0× 55 1.4× 11 0.3× 32 0.9× 10 0.3× 20 221
F. Georgatos Switzerland 3 34 0.4× 30 0.8× 15 0.4× 20 0.5× 16 0.4× 5 203
Yi‐Min Tsai Taiwan 11 29 0.3× 9 0.2× 117 3.1× 346 9.4× 14 0.4× 31 436
S. Kumarganesh India 9 60 0.6× 25 0.6× 37 1.0× 86 2.3× 5 0.1× 28 263
Fernando Sancho Caparrini Spain 8 66 0.7× 192 4.9× 9 0.2× 53 1.4× 6 0.2× 31 336
Hao Wen China 11 93 1.0× 49 1.3× 8 0.2× 60 1.6× 12 0.3× 37 270
Miguel Hernández-Cabronero Spain 10 65 0.7× 20 0.5× 19 0.5× 249 6.7× 5 0.1× 43 318
Zhe Ren China 9 36 0.4× 5 0.1× 8 0.2× 204 5.5× 28 0.8× 14 304

Countries citing papers authored by Daniel Liu

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Liu. A scholar is included among the top collaborators of Daniel Liu 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 Daniel Liu. Daniel Liu 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.
Liu, Daniel, et al.. (2025). The open-closed mod-minimizer algorithm. Algorithms for Molecular Biology. 20(1). 4–4. 1 indexed citations
2.
Mahmoud, S., et al.. (2024). An Artificial Intelligence–Supported Medicinal Chemistry Project: An Example for Incorporating Artificial Intelligence Within the Pharmacy Curriculum. American Journal of Pharmaceutical Education. 88(5). 100696–100696. 4 indexed citations
3.
Liu, Daniel & Martin Steinegger. (2023). Block Aligner: an adaptive SIMD-accelerated aligner for sequences and position-specific scoring matrices. Bioinformatics. 39(8). 8 indexed citations
4.
Talati, Nishil, Haojie Ye, Yuhan Chen, et al.. (2022). Mint: An Accelerator For Mining Temporal Motifs. 1270–1287. 4 indexed citations
5.
How, Bernard Voon Ee, et al.. (2020). Adaptive Neural Tracking Control for an Autonomous Azimuthing Stern Drive (ASD) Tug. IOP Conference Series Materials Science and Engineering. 929(1). 12002–12002. 2 indexed citations
6.
Liu, Daniel, Ronald Yu, & Hao Su. (2019). Adversarial point perturbations on 3D objects. arXiv (Cornell University). 6 indexed citations
7.
Liu, Daniel, et al.. (2019). System Demonstration of MRAM Co-designed Processing-in-Memory CNN Accelerator for Mobile and IoT Applications.. Knowledge Discovery and Data Mining. 1 indexed citations
8.
Liu, Daniel. (2019). Algorithms for efficiently collapsing reads with Unique Molecular Identifiers. PeerJ. 7. e8275–e8275. 14 indexed citations
9.
Liu, Daniel, Ronald Yu, & Hao Su. (2019). Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers. 2279–2283. 104 indexed citations
10.
Liu, Daniel. (2019). Fuzzysplit: demultiplexing and trimming sequenced DNA with a declarative language. PeerJ. 7. e7170–e7170. 3 indexed citations
11.
Trummer, Immanuel, et al.. (2019). AggChecker. Proceedings of the VLDB Endowment. 12(12). 1938–1941. 2 indexed citations
13.
Trummer, Immanuel, et al.. (2018). The FactChecker: Verifying Text Summaries of Relational Data Sets.. arXiv (Cornell University).
14.
Kato, Hiroyuki, Sergio Duarte, Daniel Liu, Ronald W. Busuttil, & Ana J. Coito. (2015). Matrix Metalloproteinase-2 (MMP-2) Gene Deletion Enhances MMP-9 Activity, Impairs PARP-1 Degradation, and Exacerbates Hepatic Ischemia and Reperfusion Injury in Mice. PLoS ONE. 10(9). e0137642–e0137642. 27 indexed citations
15.
Liu, Daniel, et al.. (2013). Epoxy toughening with nano-sized amphiphilic block copolymer micelles. 1(2013). 597–600. 1 indexed citations
16.
Chiang, J., et al.. (2011). Development for VCI (Vertical Circuit Interconnection) technology for stacked die package. 333–335. 4 indexed citations
17.
Chiang, J., et al.. (2011). Development of VCI (Vertical Circuit Interconnection) technology for stacked die package. 137–139. 1 indexed citations
18.
Liu, Daniel. (2011). Simulation model of Pacinian corpuscle for haptic system design. RIT Scholar Works (Rochester Institute of Technology). 3 indexed citations
19.
Liu, Daniel & Michael P. Fitz. (2006). Low Complexity Affine MMSE detector for Iterative Detection-Decoding MIMO OFDM system. 2006 IEEE International Conference on Communications. 4654–4659. 14 indexed citations
20.
Daneshrad, Babak, et al.. (2006). MIMO Systems for Military Communications. 1. 1–7. 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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