Qi Yang

2.7k total citations
71 papers, 2.2k citations indexed

About

Qi Yang is a scholar working on Organic Chemistry, Biomedical Engineering and Materials Chemistry. According to data from OpenAlex, Qi Yang has authored 71 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Organic Chemistry, 13 papers in Biomedical Engineering and 11 papers in Materials Chemistry. Recurrent topics in Qi Yang's work include Catalytic C–H Functionalization Methods (13 papers), Radical Photochemical Reactions (10 papers) and Carbon dioxide utilization in catalysis (9 papers). Qi Yang is often cited by papers focused on Catalytic C–H Functionalization Methods (13 papers), Radical Photochemical Reactions (10 papers) and Carbon dioxide utilization in catalysis (9 papers). Qi Yang collaborates with scholars based in China, United States and France. Qi Yang's co-authors include Sanzhong Luo, Long Zhang, Pixu Li, Longji Li, Weigang Fan, Chen Ye, Li‐Zhu Wu, Yidi Liu, Chen‐Ho Tung and Niankai Fu and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Qi Yang

65 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Qi Yang China 22 1.3k 526 332 314 306 71 2.2k
Saravanan Subramanian India 19 596 0.5× 790 1.5× 365 1.1× 546 1.7× 399 1.3× 63 1.9k
Reza Khalifeh Iran 31 1.5k 1.2× 432 0.8× 179 0.5× 226 0.7× 228 0.7× 87 2.3k
Kwang Ho Song South Korea 25 804 0.6× 727 1.4× 245 0.7× 490 1.6× 180 0.6× 122 2.2k
Jian Fang China 28 693 0.6× 600 1.1× 210 0.6× 135 0.4× 554 1.8× 92 1.8k
Salam J.J. Titinchi South Africa 26 729 0.6× 621 1.2× 261 0.8× 126 0.4× 405 1.3× 85 1.6k
Assunta Marrocchi Italy 32 1.5k 1.2× 964 1.8× 231 0.7× 174 0.6× 294 1.0× 134 3.7k
Masao Aoki Japan 12 1.7k 1.3× 1.1k 2.1× 396 1.2× 218 0.7× 630 2.1× 15 2.5k
Marvin Parasram United States 19 2.1k 1.6× 471 0.9× 195 0.6× 64 0.2× 269 0.9× 31 2.8k
Xiaohui Kang China 26 1.1k 0.9× 378 0.7× 167 0.5× 237 0.8× 465 1.5× 110 2.2k
Yue Hu China 32 1.1k 0.9× 635 1.2× 288 0.9× 335 1.1× 770 2.5× 90 2.6k

Countries citing papers authored by Qi Yang

Since Specialization
Citations

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

Fields of papers citing papers by Qi Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Qi Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Qi Yang. A scholar is included among the top collaborators of Qi 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 Qi Yang. Qi Yang 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.
Tan, Zheng, Qi Yang, & Sanzhong Luo. (2025). AI molecular catalysis: where are we now?. Organic Chemistry Frontiers. 12(8). 2759–2776. 5 indexed citations
2.
Du, Tingting, et al.. (2025). Physicochemically Informed Axial Chirality Descriptors Enable Accurate Prediction of Atropisomeric Stability. Angewandte Chemie International Edition. 65(5). e21349–e21349.
3.
Wang, Shanshan, Jian Cheng, Sen Jia, et al.. (2025). Diff5T: Benchmarking human brain diffusion MRI with an extensive 5.0 Tesla k-space and spatial dataset. Scientific Data. 12(1). 1352–1352. 2 indexed citations
4.
Shao, Yingbo, et al.. (2025). Machine Learning‐Based Prediction of Bond Dissociation Energies for Metal‐Trifluoromethyl Compounds†. Chinese Journal of Chemistry. 43(12). 1363–1372. 1 indexed citations
5.
6.
Yang, Qi, Sikai Wang, Shinya Furukawa, et al.. (2024). Adjacent MnOx clusters enhance the hydroformylation activity of rhodium single-atom catalysts. Applied Catalysis B: Environmental. 350. 123923–123923. 13 indexed citations
7.
Yang, Cheng, et al.. (2024). Unraveling promoter effect in enhancing Rh-catalyzed hydroformylation of formaldehyde. Molecular Catalysis. 564. 114299–114299. 1 indexed citations
8.
Liu, Yidi, Li Yao, Qi Yang, et al.. (2024). Prediction of Bond Dissociation Energy for Organic Molecules Based on a Machine‐Learning Approach. Chinese Journal of Chemistry. 42(17). 1967–1974. 15 indexed citations
9.
Qi, Xu, Chuanyu Li, Zhiqi Zhang, et al.. (2024). Self-correction of cycle threshold values by a normal distribution–based process to improve accuracy of quantification in real-time digital PCR. Analytical and Bioanalytical Chemistry. 416(10). 2453–2464. 1 indexed citations
10.
Yang, Qi, Chengyuan Liu, Keke Qi, et al.. (2024). Imaging and quantification of neuropeptides in mouse pituitary tissue by atmospheric pressure matrix‐assisted laser desorption/ionization mass spectrometry. Rapid Communications in Mass Spectrometry. 38(12). e9755–e9755. 1 indexed citations
11.
Yang, Qi, et al.. (2023). Where you edit is what you get: Text-guided image editing with region-based attention. Pattern Recognition. 139. 109458–109458. 12 indexed citations
12.
Qi, Xu, Jinze Li, Qi Yang, et al.. (2023). Precise determination of reaction conditions for accurate quantification in digital PCR by real-time fluorescence monitoring within microwells. Biosensors and Bioelectronics. 244. 115798–115798. 8 indexed citations
13.
Liu, Yidi, et al.. (2023). Prediction of Nucleophilicity and Electrophilicity Based on a Machine‐Learning Approach. ChemPhysChem. 24(14). e202300162–e202300162. 21 indexed citations
14.
Li, Jinze, Wei Zhang, Zhiqi Zhang, et al.. (2023). Revealing the Binding Events of Single Proteins on Exosomes Using Nanocavity Antennas beyond Zero-Mode Waveguides. ACS Applied Materials & Interfaces. 15(42). 49511–49526. 3 indexed citations
15.
Ke, Linyao, Qiuhao Wu, Nan Zhou, et al.. (2022). Lignocellulosic biomass pyrolysis for aromatic hydrocarbons production: Pre and in-process enhancement methods. Renewable and Sustainable Energy Reviews. 165. 112607–112607. 68 indexed citations
16.
Yang, Qi, Yao Li, Jin‐Dong Yang, et al.. (2020). Holistic Prediction of the pKa in Diverse Solvents Based on a Machine‐Learning Approach. Angewandte Chemie International Edition. 59(43). 19282–19291. 196 indexed citations
17.
18.
Wang, Lingxiang, Jian Zhang, Xiaolong Liu, et al.. (2018). Selective Hydrogenation of CO2 to Ethanol over Cobalt Catalysts. Angewandte Chemie. 130(21). 6212–6216. 34 indexed citations
19.
Wang, Lingxiang, Liang Wang, Jian Zhang, et al.. (2018). Selective Hydrogenation of CO2 to Ethanol over Cobalt Catalysts. Angewandte Chemie International Edition. 57(21). 6104–6108. 313 indexed citations
20.
Yang, Qi & Dingyü Xue. (2012). Gait Recognition Based on Two-scale Dynamic Bayesian Network and More Information Fusion. JOURNAL OF ELECTRONICS INFORMATION TECHNOLOGY. 34(5). 1148–1153. 2 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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