Jiali Bai

1.1k total citations · 1 hit paper
17 papers, 983 citations indexed

About

Jiali Bai is a scholar working on Materials Chemistry, Mechanical Engineering and Molecular Biology. According to data from OpenAlex, Jiali Bai has authored 17 papers receiving a total of 983 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Materials Chemistry, 13 papers in Mechanical Engineering and 2 papers in Molecular Biology. Recurrent topics in Jiali Bai's work include Carbon Dioxide Capture Technologies (13 papers), Covalent Organic Framework Applications (13 papers) and Membrane Separation and Gas Transport (12 papers). Jiali Bai is often cited by papers focused on Carbon Dioxide Capture Technologies (13 papers), Covalent Organic Framework Applications (13 papers) and Membrane Separation and Gas Transport (12 papers). Jiali Bai collaborates with scholars based in China, Türkiye and United States. Jiali Bai's co-authors include Xin Hu, Muslum Demi̇r, Linlin Wang, Jiamei Huang, Qiyun Yu, Bilge Nazli Altay, Changdan Ma, Linlin Wang, Shenfang Liu and Murat Kılıç and has published in prestigious journals such as Chemical Engineering Journal, Fuel and Molecules.

In The Last Decade

Jiali Bai

17 papers receiving 974 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Water chestnut shell-derived N/S-doped porous carbons and their applications in CO2 adsorption and supercapacitor

2022 168 citations Changdan Ma, Jiali Bai et al. Fuel profile →

Peers

Jiali Bai

ME

MC

BE

EOMM

IC

Rubén Ramos Portugal

Congxin Wang China

Chenlei Wu China

Qingyin Li China

Yusuke Baba Japan

Nidhika Bhoria United Arab Emirates

Jeewan Pokhrel United Arab Emirates

Chinh Nguyen‐Huy South Korea

Honghui Gong China

Jian Yan China

Rubén Ramos Portugal

Jiali Bai

448 ×0.6

ME

236 ×0.6

MC

573 ×2.3

BE

76 ×0.4

EOMM

179 ×1.0

IC

Citations per year, relative to Jiali Bai Jiali Bai (= 1×) peers Rubén Ramos

Countries citing papers authored by Jiali Bai

Since Specialization

Citations

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

Fields of papers citing papers by Jiali Bai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jiali Bai

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

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

1.

Bai, Jiali, Cong Zhang, Yulin Liu, et al.. (2024). The therapeutic effect of Loranthus parasiticus lignan derivatives on collagen-induced arthritis in rats through the SHBG/NFκB pathway. Inflammopharmacology. 32(1). 873–883. 3 indexed citations

2.

Bai, Jiali, Jiamei Huang, Qing Jiang, et al.. (2023). Synthesis and characterization of polyphenylene sulfide resin-derived S-doped porous carbons for efficient CO2 capture. Colloids and Surfaces A Physicochemical and Engineering Aspects. 674. 131916–131916. 56 indexed citations

3.

Bai, Jiali, Jiamei Huang, Qiyun Yu, et al.. (2023). N-doped porous carbon derived from macadamia nut shell for CO2 adsorption. Fuel Processing Technology. 249. 107854–107854. 90 indexed citations

4.

Bai, Jiali, Jiamei Huang, Qiyun Yu, et al.. (2023). One-pot synthesis of self S-doped porous carbon for efficient CO2 adsorption. Fuel Processing Technology. 244. 107700–107700. 80 indexed citations

5.

Yu, Qiyun, Jiali Bai, Jiamei Huang, et al.. (2023). One-Pot Synthesis of Melamine Formaldehyde Resin-Derived N-Doped Porous Carbon for CO2 Capture Application. Molecules. 28(4). 1772–1772. 52 indexed citations

6.

Bai, Jiali, Jiamei Huang, Qiyun Yu, et al.. (2023). Fabrication of coconut shell-derived porous carbons for CO2 adsorption application. Frontiers of Chemical Science and Engineering. 17(8). 1122–1130. 55 indexed citations

7.

Lu, Tingyan, Jiali Bai, Jiamei Huang, et al.. (2023). Self-Activating Approach for Synthesis of 2,6-Naphthalene Disulfonate Acid Disodium Salt-Derived Porous Carbon and CO₂ Capture Performance. Energy & Fuels. 37(5). 3886–3893. 29 indexed citations

8.

Bai, Jiali, Jiawei Shao, Qiyun Yu, et al.. (2023). Sulfur-Doped porous carbon Adsorbent: A promising solution for effective and selective CO2 capture. Chemical Engineering Journal. 479. 147667–147667. 104 indexed citations

9.

Yang, Zi, Jiali Bai, Zhenhong Ye, et al.. (2023). Circ_0115118 regulates endometrial functions through the miR-138-1-3p/WDFY2 axis in patients with PCOS. Biology of Reproduction. 108(5). 744–757. 1 indexed citations

10.

Ma, Changdan, et al.. (2022). Nitrogen-doped porous carbons from polyacrylonitrile fiber as effective CO2 adsorbents. Journal of Environmental Sciences. 125. 533–543. 93 indexed citations

11.

Ma, Changdan, Jiali Bai, Muslum Demi̇r, et al.. (2022). Polyacrylonitrile-derived nitrogen enriched porous carbon fiber with high CO2 capture performance. Separation and Purification Technology. 303. 122299–122299. 41 indexed citations

12.

Yu, Qiyun, Jiali Bai, Jiamei Huang, et al.. (2022). One-Pot Synthesis of N-Rich Porous Carbon for Efficient CO2 Adsorption Performance. Molecules. 27(20). 6816–6816. 37 indexed citations

13.

Ma, Changdan, Jiali Bai, Muslum Demi̇r, et al.. (2022). Water chestnut shell-derived N/S-doped porous carbons and their applications in CO2 adsorption and supercapacitor. Fuel. 326. 125119–125119. 168 indexed citations breakdown →

14.

Huang, Jiamei, et al.. (2022). Efficient N-Doped Porous Carbonaceous CO₂ Adsorbents Derived from Commercial Urea-Formaldehyde Resin. Energy & Fuels. 36(11). 5825–5832. 59 indexed citations

15.

Lu, Tingyan, et al.. (2022). Synthesis of Potassium Bitartrate-Derived Porous Carbon Via a Facile and Self-Activating Strategy for Co2 Adsorption Application. SSRN Electronic Journal. 2 indexed citations

16.

Lu, Tingyan, Jiali Bai, Muslum Demi̇r, et al.. (2022). Synthesis of potassium Bitartrate-derived porous carbon via a facile and Self-Activating strategy for CO2 adsorption application. Separation and Purification Technology. 296. 121368–121368. 74 indexed citations

17.

Chen, Jiaxiang, Hao Zhou, Jinlei Wang, et al.. (2015). Therapeutic effects of resveratrol in a mouse model of HDM-induced allergic asthma. International Immunopharmacology. 25(1). 43–48. 39 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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