Baorong Wang

1.1k total citations
32 papers, 912 citations indexed

About

Baorong Wang is a scholar working on Molecular Biology, Mechanical Engineering and Materials Chemistry. According to data from OpenAlex, Baorong Wang has authored 32 papers receiving a total of 912 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 8 papers in Mechanical Engineering and 8 papers in Materials Chemistry. Recurrent topics in Baorong Wang's work include Natural product bioactivities and synthesis (7 papers), Iron and Steelmaking Processes (6 papers) and Zeolite Catalysis and Synthesis (6 papers). Baorong Wang is often cited by papers focused on Natural product bioactivities and synthesis (7 papers), Iron and Steelmaking Processes (6 papers) and Zeolite Catalysis and Synthesis (6 papers). Baorong Wang collaborates with scholars based in China, United States and Russia. Baorong Wang's co-authors include Jian Han, De‐an Guo, Min Ye, Man Xu, Jianghao Sun, Xue Qiao, Min Yang, Xinxin Peng, Xingtian Shu and Min Lin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemical Engineering Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Baorong Wang

26 papers receiving 888 citations

Peers

Baorong Wang
Nahyun Kim South Korea
Li Duan China
Yujie Fu China
Aneela Maalik Pakistan
Nahyun Kim South Korea
Baorong Wang
Citations per year, relative to Baorong Wang Baorong Wang (= 1×) peers Nahyun Kim

Countries citing papers authored by Baorong Wang

Since Specialization
Citations

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

Fields of papers citing papers by Baorong Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Baorong Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Baorong Wang. A scholar is included among the top collaborators of Baorong Wang 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 Baorong Wang. Baorong Wang 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.
Li, Xiaoming, et al.. (2025). A Hybrid Prediction Model for Gas Utilization Rate Based on Blast Furnace Operating Conditions. Metallurgical and Materials Transactions B. 56(3). 2596–2606.
2.
Wang, Baorong, et al.. (2025). Identification of working conditions and prediction of NOx emissions in iron ore fines sintering process. Journal of Iron and Steel Research International. 32(8). 2277–2285.
3.
Wang, Baorong, Yongkun Yang, Weian Wang, et al.. (2025). Real-Time Surface Crack Defects Prediction of 82B Steel Billet Based on Multi-model Fusion. Metallurgical and Materials Transactions B. 56(4). 4287–4298.
4.
Lin, Xuhui, et al.. (2024). Prediction model of permeability index for blast furnace based on WD-NL-transformer. Ironmaking & Steelmaking Processes Products and Applications. 52(9). 1046–1057. 1 indexed citations
5.
Li, Xiaoming, et al.. (2024). A hybrid prediction model of blast furnace permeability index combining least square support vector machine and artificial neural network. Ironmaking & Steelmaking Processes Products and Applications. 1 indexed citations
6.
Wang, Baorong, et al.. (2024). Identification of working conditions and prediction of FeO content in sintering process of iron ore fines. Journal of Iron and Steel Research International. 31(9). 2090–2100. 4 indexed citations
7.
Wang, Baorong, et al.. (2024). Real-Time Prediction of Molten Pool Velocity Distribution in Converter Steelmaking Based on Deep Learning. Metallurgical and Materials Transactions B. 56(1). 269–276.
8.
Xia, Changjiu, Min Lin, Bin Zhu, et al.. (2017). Sponge-structured titanosilicate zeolite with high catalytic activity in epoxidation of fatty acid methyl ester. Catalysis Communications. 101. 1–4. 18 indexed citations
10.
Wang, Baorong, Min Lin, Bin Zhu, et al.. (2015). The synthesis, characterization and catalytic activity of the hierarchical TS-1 with the intracrystalline voids and grooves. Catalysis Communications. 75. 69–73. 53 indexed citations
11.
Guan, Xiangyu, Huifang Li, Wenzhi Yang, et al.. (2011). HPLC-DAD–MSn analysis and HPLC quantitation of chemical constituents in Xian-ling-gu-bao capsules. Journal of Pharmaceutical and Biomedical Analysis. 55(5). 923–933. 28 indexed citations
12.
Qiao, Xue, Jian Han, Wenni He, et al.. (2010). Chemical fingerprint of commercial Radix Echinopsis and quantitative analysis of α‐terthienyl. Journal of Separation Science. 33(4-5). 530–538. 9 indexed citations
13.
Kang, Jie, Jianghao Sun, Min Ye, et al.. (2008). Characterization of compounds from the roots of Saposhnikovia divaricata by high‐performance liquid chromatography coupled with electrospray ionization tandem mass spectrometry. Rapid Communications in Mass Spectrometry. 22(12). 1899–1911. 48 indexed citations
14.
Qiao, Xue, Jian Han, Man Xu, et al.. (2008). Characterization of Chemical Constituents in Guan Xin II Decoction by Liquid Chromatography Coupled with Electrospray Ionization-Mass Spectrometry. Planta Medica. 74(14). 1720–1729. 10 indexed citations
15.
Han, Jian, Min Ye, Xue Qiao, et al.. (2008). Characterization of phenolic compounds in the Chinese herbal drug Artemisia annua by liquid chromatography coupled to electrospray ionization mass spectrometry. Journal of Pharmaceutical and Biomedical Analysis. 47(3). 516–525. 144 indexed citations
16.
Zhao, Haiyu, Jianghao Sun, Miao-Xuan Fan, et al.. (2008). Analysis of phenolic compounds in Epimedium plants using liquid chromatography coupled with electrospray ionization mass spectrometry. Journal of Chromatography A. 1190(1-2). 157–181. 88 indexed citations
17.
Han, Jian, Min Ye, Hui Guo, et al.. (2007). Analysis of multiple constituents in a Chinese herbal preparation Shuang-Huang-Lian oral liquid by HPLC-DAD-ESI-MSn. Journal of Pharmaceutical and Biomedical Analysis. 44(2). 430–438. 110 indexed citations
18.
Xu, Man, Hui Guo, Jian Han, et al.. (2007). Structural characterization of metabolites of salvianolic acid B from Salvia miltiorrhiza in normal and antibiotic-treated rats by liquid chromatography–mass spectrometry. Journal of Chromatography B. 858(1-2). 184–198. 42 indexed citations
19.
Sun, Jianghao, Min Yang, Jian Han, et al.. (2007). Profiling the metabolic difference of seven tanshinones using high‐performance liquid chromatography/multi‐stage mass spectrometry with data‐dependent acquisition. Rapid Communications in Mass Spectrometry. 21(14). 2211–2226. 47 indexed citations
20.
Han, Jian, Min Ye, Man Xu, et al.. (2006). Characterization of flavonoids in the traditional Chinese herbal medicine-Huangqin by liquid chromatography coupled with electrospray ionization mass spectrometry. Journal of Chromatography B. 848(2). 355–362. 147 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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