Chia-Jung Lu

97 total papers · 2.8k total citations
79 papers, 2.3k citations indexed

About

Chia-Jung Lu is a scholar working on Biomedical Engineering, Electrical and Electronic Engineering and Bioengineering. According to data from OpenAlex, Chia-Jung Lu has authored 79 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Biomedical Engineering, 38 papers in Electrical and Electronic Engineering and 20 papers in Bioengineering. Recurrent topics in Chia-Jung Lu's work include Advanced Chemical Sensor Technologies (35 papers), Gas Sensing Nanomaterials and Sensors (32 papers) and Analytical Chemistry and Sensors (20 papers). Chia-Jung Lu is often cited by papers focused on Advanced Chemical Sensor Technologies (35 papers), Gas Sensing Nanomaterials and Sensors (32 papers) and Analytical Chemistry and Sensors (20 papers). Chia-Jung Lu collaborates with scholars based in Taiwan, United States and France. Chia-Jung Lu's co-authors include Edward T. Zellers, Hsin‐Fei Meng, Hsiao‐Wen Zan, S. W. Pang, Ming-Yen Chuang, Richard Sacks, Wei‐Cheng Tian, Hak‐Kim Chan, Joshua J. Whiting and Ping‐Hung Yeh and has published in prestigious journals such as Analytical Chemistry, Journal of Hazardous Materials and ACS Applied Materials & Interfaces.

In The Last Decade

Chia-Jung Lu

77 papers receiving 2.2k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Chia-Jung Lu 1.5k 1.1k 667 458 259 79 2.3k
Shin‐ichi Wakida 1.3k 0.9× 840 0.8× 871 1.3× 395 0.9× 300 1.2× 160 2.5k
R. Andrew McGill 1.5k 1.0× 885 0.8× 468 0.7× 544 1.2× 681 2.6× 69 3.0k
Ivano Gebhardt Rolf Gutz 738 0.5× 902 0.8× 598 0.9× 187 0.4× 261 1.0× 104 2.3k
Cinzia Di Franco 1.0k 0.7× 1.3k 1.1× 643 1.0× 281 0.6× 444 1.7× 99 2.6k
Ivo M. Raimundo 674 0.4× 596 0.5× 509 0.8× 422 0.9× 287 1.1× 84 2.1k
Grégoire Herzog 585 0.4× 1.2k 1.0× 903 1.4× 130 0.3× 336 1.3× 104 2.4k
Stefan Nagl 850 0.6× 620 0.6× 592 0.9× 259 0.6× 481 1.9× 62 1.8k
Michael L. Hitchman 428 0.3× 1.4k 1.3× 591 0.9× 127 0.3× 786 3.0× 114 2.7k
Petr Vanýsek 398 0.3× 1.2k 1.1× 1.2k 1.8× 163 0.4× 312 1.2× 124 2.7k
Harry P. Gregor 802 0.5× 502 0.4× 352 0.5× 366 0.8× 362 1.4× 103 3.1k

Countries citing papers authored by Chia-Jung Lu

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Jung Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chia-Jung Lu. 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 Chia-Jung Lu. The network helps show where Chia-Jung Lu may publish in the future.

Co-authorship network of co-authors of Chia-Jung Lu

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

All Works

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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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