Jian-Jun Yang

692 total citations
8 papers, 567 citations indexed

About

Jian-Jun Yang is a scholar working on Pollution, Analytical Chemistry and Industrial and Manufacturing Engineering. According to data from OpenAlex, Jian-Jun Yang has authored 8 papers receiving a total of 567 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Pollution, 4 papers in Analytical Chemistry and 2 papers in Industrial and Manufacturing Engineering. Recurrent topics in Jian-Jun Yang's work include Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Analytical chemistry methods development (4 papers) and Wastewater Treatment and Nitrogen Removal (2 papers). Jian-Jun Yang is often cited by papers focused on Pharmaceutical and Antibiotic Environmental Impacts (5 papers), Analytical chemistry methods development (4 papers) and Wastewater Treatment and Nitrogen Removal (2 papers). Jian-Jun Yang collaborates with scholars based in Canada and China. Jian-Jun Yang's co-authors include Chris D. Metcalfe, Xiu‐Sheng Miao, Wenyong Liu, Qiang Shen, Jia Li, Jingya Li, Jincai Lu, Juan Zhang, Kai Xiao and Hing‐Biu Lee and has published in prestigious journals such as Environmental Science & Technology, The Science of The Total Environment and Food Chemistry.

In The Last Decade

Jian-Jun Yang

8 papers receiving 548 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jian-Jun Yang Canada 7 431 191 182 75 59 8 567
Seung-Ryul Hwang South Korea 5 365 0.8× 123 0.6× 153 0.8× 99 1.3× 59 1.0× 12 610
Zaharie Moldovan Romania 12 359 0.8× 189 1.0× 186 1.0× 89 1.2× 48 0.8× 35 649
Ingus Pērkons Latvia 19 277 0.6× 161 0.8× 270 1.5× 57 0.8× 97 1.6× 45 804
Octavio Malato Spain 11 270 0.6× 291 1.5× 159 0.9× 119 1.6× 103 1.7× 11 828
Eileen P. Hayes United States 8 473 1.1× 112 0.6× 308 1.7× 92 1.2× 40 0.7× 12 690
Benjamin Ricken Switzerland 8 529 1.2× 158 0.8× 100 0.5× 58 0.8× 71 1.2× 9 598
Ariel Marchlewicz Poland 11 481 1.1× 186 1.0× 90 0.5× 102 1.4× 128 2.2× 19 741
Walter Schüssler Germany 13 624 1.4× 296 1.5× 254 1.4× 131 1.7× 75 1.3× 14 979
Ma Teresa Galceran Spain 11 378 0.9× 299 1.6× 270 1.5× 97 1.3× 36 0.6× 12 766
Marion Letzel Germany 8 531 1.2× 154 0.8× 266 1.5× 134 1.8× 41 0.7× 8 671

Countries citing papers authored by Jian-Jun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Jian-Jun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jian-Jun Yang. 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 Jian-Jun Yang. The network helps show where Jian-Jun Yang may publish in the future.

Co-authorship network of co-authors of Jian-Jun Yang

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

All Works

8 of 8 papers shown
1.
Zhang, Jie, et al.. (2025). Application of deep learning-based facial pain recognition model for postoperative pain assessment. Journal of Clinical Anesthesia. 105. 111898–111898. 1 indexed citations
2.
Zhang, Juan, Qiang Shen, Jincai Lu, et al.. (2009). Phenolic compounds from the leaves of Cyclocarya paliurus (Batal.) Ijinskaja and their inhibitory activity against PTP1B. Food Chemistry. 119(4). 1491–1496. 77 indexed citations
3.
Smyth, Shirley Anne, Lori Lishman, Edward A. McBean, et al.. (2008). Seasonal occurrence and removal of polycyclic and nitro musks from wastewater treatment plants in Ontario, Canada. Journal of Environmental Engineering and Science. 7(4). 299–317. 14 indexed citations
4.
Svoboda, Michal, et al.. (2007). A Microwave-assisted Extraction Method for the Determination of Synthetic Musks in Sewage Sludge. Water Quality Research Journal. 42(1). 11–19. 11 indexed citations
5.
Smyth, Shirley Anne, Lori Lishman, Edward A. McBean, et al.. (2007). Polycyclic and Nitro Musks in Canadian Municipal Wastewater: Occurrence and Removal in Wastewater Treatment. Water Quality Research Journal. 42(3). 138–152. 10 indexed citations
6.
Smyth, Shirley Anne, Lori Lishman, Mehran Alaee, et al.. (2006). Sample storage and extraction efficiencies in determination of polycyclic and nitro musks in sewage sludge. Chemosphere. 67(2). 267–275. 22 indexed citations
7.
Yang, Jian-Jun & Chris D. Metcalfe. (2005). Fate of synthetic musks in a domestic wastewater treatment plant and in an agricultural field amended with biosolids. The Science of The Total Environment. 363(1-3). 149–165. 115 indexed citations
8.
Miao, Xiu‐Sheng, Jian-Jun Yang, & Chris D. Metcalfe. (2005). Carbamazepine and Its Metabolites in Wastewater and in Biosolids in a Municipal Wastewater Treatment Plant. Environmental Science & Technology. 39(19). 7469–7475. 317 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026