Longqiang Luo

625 total citations
10 papers, 529 citations indexed

About

Longqiang Luo is a scholar working on Molecular Biology, Computational Theory and Mathematics and Atmospheric Science. According to data from OpenAlex, Longqiang Luo has authored 10 papers receiving a total of 529 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Computational Theory and Mathematics and 3 papers in Atmospheric Science. Recurrent topics in Longqiang Luo's work include Machine Learning in Bioinformatics (3 papers), Genomics and Phylogenetic Studies (3 papers) and Atmospheric Ozone and Climate (3 papers). Longqiang Luo is often cited by papers focused on Machine Learning in Bioinformatics (3 papers), Genomics and Phylogenetic Studies (3 papers) and Atmospheric Ozone and Climate (3 papers). Longqiang Luo collaborates with scholars based in China, United States and Hong Kong. Longqiang Luo's co-authors include Wen Zhang, Jingxia Zhang, Feng Liu, Weijian Wu, Hua Zou, Frank K. Tittel, Wei Ren, Dingfang Li, Wenyi Xiao and Fei Luo and has published in prestigious journals such as PLoS ONE, Scientific Reports and Sensors and Actuators B Chemical.

In The Last Decade

Longqiang Luo

10 papers receiving 520 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Longqiang Luo China	7	285	211	82	55	55	10	529
Shichao Liu China	16	625 2.2×	645 3.1×	9 0.1×	43 0.8×	167 3.0×	45	966
Yuhong Wang United States	12	226 0.8×	266 1.3×	30 0.4×	14 0.3×	41 0.7×	25	758
Jonathan Alvarsson Sweden	13	438 1.5×	495 2.3×	155 1.9×	5 0.1×	57 1.0×	25	840
Ricardo Arcila United Kingdom	4	308 1.1×	293 1.4×	22 0.3×	9 0.2×	40 0.7×	4	652
Sung Jin Cho South Korea	15	270 0.9×	572 2.7×	132 1.6×	14 0.3×	46 0.8×	42	934
Ernst Ahlberg Sweden	12	124 0.4×	172 0.8×	26 0.3×	28 0.5×	37 0.7×	26	338
Sabrina Jaeger-Honz Germany	6	299 1.0×	380 1.8×	32 0.4×	4 0.1×	32 0.6×	10	553
Nicolas Bosc United Kingdom	9	424 1.5×	419 2.0×	28 0.3×	10 0.2×	36 0.7×	13	715
Ben Liao China	6	350 1.2×	481 2.3×	25 0.3×	3 0.1×	117 2.1×	10	678
Yang Qiu China	13	509 1.8×	503 2.4×	8 0.1×	39 0.7×	113 2.1×	34	804

Countries citing papers authored by Longqiang Luo

Since Specialization

Citations

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

Fields of papers citing papers by Longqiang Luo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Longqiang Luo

This figure shows the co-authorship network connecting the top 25 collaborators of Longqiang Luo. A scholar is included among the top collaborators of Longqiang Luo 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 Longqiang Luo. Longqiang Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Luo, Longqiang, et al.. (2021). Rotational hyperspectral scanner and related image reconstruction algorithm. Scientific Reports. 11(1). 3296–3296. 5 indexed citations

2.

Luo, Longqiang, et al.. (2020). A PARAMETER-FREE CALIBRATION PROCESS FOR A SCHEIMPFLUG LIDAR FOR VOLUMETRIC PROFILING. Electromagnetic waves. 169. 117–127. 10 indexed citations

3.

Li, Dingfang, Longqiang Luo, Wen Zhang, Feng Liu, & Fei Luo. (2016). A genetic algorithm-based weighted ensemble method for predicting transposon-derived piRNAs. BMC Bioinformatics. 17(1). 329–329. 68 indexed citations

4.

Luo, Longqiang, Dingfang Li, Wen Zhang, et al.. (2016). Accurate Prediction of Transposon-Derived piRNAs by Integrating Various Sequential and Physicochemical Features. PLoS ONE. 11(4). e0153268–e0153268. 59 indexed citations

5.

Zhang, Wen, Feng Liu, Longqiang Luo, & Jingxia Zhang. (2015). Predicting drug side effects by multi-label learning and ensemble learning. BMC Bioinformatics. 16(1). 365–365. 153 indexed citations

6.

Zhang, Wen, et al.. (2015). Accurate Prediction of Immunogenic T-Cell Epitopes from Epitope Sequences Using the Genetic Algorithm-Based Ensemble Learning. PLoS ONE. 10(5). e0128194–e0128194. 32 indexed citations

7.

Chen, Jian, et al.. (2015). Modeling and implementation of a fiber-based quartz-enhanced photoacoustic spectroscopy system. Applied Optics. 54(13). 4202–4202. 5 indexed citations

8.

Ren, Wei, Longqiang Luo, Yingchun Cao, Wenzhe Jiang, & Frank K. Tittel. (2015). Interband cascade laser based absorption sensor for ppb-level formaldehyde detection. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9370. 93702B–93702B. 2 indexed citations

9.

Zhang, Wen, et al.. (2015). Predicting potential side effects of drugs by recommender methods and ensemble learning. Neurocomputing. 173. 979–987. 125 indexed citations

10.

Ren, Wei, Longqiang Luo, & Frank K. Tittel. (2015). Sensitive detection of formaldehyde using an interband cascade laser near 3.6 μm. Sensors and Actuators B Chemical. 221. 1062–1068. 70 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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