Lijun Dang

451 total citations
11 papers, 364 citations indexed

About

Lijun Dang is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Insect Science. According to data from OpenAlex, Lijun Dang has authored 11 papers receiving a total of 364 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 6 papers in Electrical and Electronic Engineering and 5 papers in Insect Science. Recurrent topics in Lijun Dang's work include Advanced Chemical Sensor Technologies (10 papers), Gas Sensing Nanomaterials and Sensors (6 papers) and Insect Pheromone Research and Control (5 papers). Lijun Dang is often cited by papers focused on Advanced Chemical Sensor Technologies (10 papers), Gas Sensing Nanomaterials and Sensors (6 papers) and Insect Pheromone Research and Control (5 papers). Lijun Dang collaborates with scholars based in China. Lijun Dang's co-authors include Fengchun Tian, Chaibou Kadri, Xiongwei Peng, Lei Zhang, Guorui Li, Xin Yin, Qi Ye, Lei Zhang, Lei Zhang and Bo Hu and has published in prestigious journals such as Sensors and Actuators B Chemical, Sensors and Actuators A Physical and Sensor Review.

In The Last Decade

Lijun Dang

10 papers receiving 352 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lijun Dang China	8	310	196	142	71	39	11	364
Chaibou Kadri China	11	363 1.2×	223 1.1×	165 1.2×	80 1.1×	48 1.2×	14	476
Xiongwei Peng China	10	254 0.8×	161 0.8×	119 0.8×	57 0.8×	32 0.8×	13	333
Marta Padilla Spain	11	395 1.3×	265 1.4×	103 0.7×	118 1.7×	69 1.8×	24	473
Pei-Feng Qi China	12	354 1.1×	186 0.9×	157 1.1×	53 0.7×	53 1.4×	22	430
Tom Artursson Sweden	8	347 1.1×	165 0.8×	100 0.7×	122 1.7×	69 1.8×	8	425
Yingying Xue China	11	286 0.9×	184 0.9×	42 0.3×	64 0.9×	25 0.6×	36	446
Luke Mathew India	7	213 0.7×	120 0.6×	62 0.4×	31 0.4×	33 0.8×	9	316
Jan Mitrovics Germany	17	552 1.8×	351 1.8×	108 0.8×	214 3.0×	114 2.9×	39	687
P. Corcoran United Kingdom	12	363 1.2×	220 1.1×	82 0.6×	146 2.1×	70 1.8×	24	493
Aziz Amari Morocco	10	445 1.4×	174 0.9×	66 0.5×	110 1.5×	93 2.4×	21	565

Countries citing papers authored by Lijun Dang

Since Specialization

Citations

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

Fields of papers citing papers by Lijun Dang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lijun Dang

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

All Works

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11 of 11 papers shown

Dang, Lijun, et al.. (2024). Simulation Study on Defect Detection of Penstocks Based on Kernel Principal Component Analysis. 159–163.

Dang, Lijun, Fengchun Tian, Lei Zhang, et al.. (2014). A novel classifier ensemble for recognition of multiple indoor air contaminants by an electronic nose. Sensors and Actuators A Physical. 207. 67–74. 57 indexed citations

Zhang, Lei, Fengchun Tian, Xiongwei Peng, et al.. (2014). Concentration estimation of formaldehyde using metal oxide semiconductor gas sensor array-based e-noses. Sensor Review. 34(3). 284–290. 11 indexed citations

Tian, Fengchun, et al.. (2013). On-line Calibration of Semiconductor Gas Sensors Based on Prediction Model. Journal of Computers. 8(9). 1 indexed citations

Kadri, Chaibou, Fengchun Tian, Lei Zhang, et al.. (2013). Neural Network Ensembles for Online Gas Concentration Estimation Using an Electronic Nose. 13 indexed citations

Zhang, Lei, Fengchun Tian, Lijun Dang, et al.. (2013). A novel background interferences elimination method in electronic nose using pattern recognition. Sensors and Actuators A Physical. 201. 254–263. 32 indexed citations

Zhang, Lei, et al.. (2013). Chaotic time series prediction of E-nose sensor drift in embedded phase space. Sensors and Actuators B Chemical. 182. 71–79. 57 indexed citations

Zhang, Lei, Fengchun Tian, Lijun Dang, & Guorui Li. (2013). A Novel ANN Ensemble and Self-calibration Model in Electronic Nose for Concentration Estimation. 1 indexed citations

Zhang, Lei, Fengchun Tian, Bo Hu, et al.. (2012). Chaos based neural network optimization for concentration estimation of indoor air contaminants by an electronic nose. Sensors and Actuators A Physical. 189. 161–167. 50 indexed citations

10.

Zhang, Lei, Fengchun Tian, Xiongwei Peng, et al.. (2012). Standardization of metal oxide sensor array using artificial neural networks through experimental design. Sensors and Actuators B Chemical. 177. 947–955. 18 indexed citations

11.

Zhang, Lei, Fengchun Tian, Lijun Dang, et al.. (2012). Classification of multiple indoor air contaminants by an electronic nose and a hybrid support vector machine. Sensors and Actuators B Chemical. 174. 114–125. 124 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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