Saimeng Jin

3.2k citations
44 papers · 2.7k · 1 hit paper · h-index 22

Impact in

Papers in

Co-authors
Weifeng Shen (34 shared papers)James H. Clark (10 shared papers)Andrew J. Hunt (5 shared papers)Con Robert McElroy (5 shared papers)Yang Su (13 shared papers)James Sherwood (3 shared papers)Jingzheng Ren (14 shared papers)Thomas J. Farmer (1 shared paper)
Journals
Green Chemistry (8 papers)Industrial & Engineering Chemistry Research (7 papers)Separation and Purification Technology (6 papers)Journal of Cleaner Production (3 papers)AIChE Journal (3 papers)
Partner nations
ChinaHong KongUnited Kingdom

In The Last Decade

Saimeng Jin

42 papers receiving 2.7k citations

Saimeng Jin's Hit Papers

Tools and techniques for solvent selection: green solvent selection guides 2016 · 1.2k citations
1.2k0+3+6Years since publication2505007501000
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if any of the following hold:

  • it has ≥500 total citations;
  • it reaches ≥1.5× the top-1% citation threshold for papers in the same subfield and year (the threshold is the minimum needed to enter the top 1%, not the average within it);
  • it reaches the top citation threshold in at least one of its specific research topics.
  1. 2016 White Rose Research Online (University of Leeds, The University of Sheffield, University of York)

Peers

Saimeng Jin
Comparison fields: 5 of 124
  • Catalysis 342
  • Filtration and Separation 98
  • Environmental Chemistry 455
  • Process Chemistry and Technology 113
  • Control and Systems Engineering 892
Replace Vincent Gerbaud with:
Vincent Gerbaud France
Christian Capello Switzerland
Teng Zhou Germany
Esteban A. Brignole Argentina
Andrzej Górak Germany
Fernando Luiz Pellegrini Pessoa Brazil
Zhen Song China
Adrie J. J. Straathof Netherlands
José M. Loureiro Portugal
Peizhe Cui China
Saimeng Jin relative to Vincent Gerbaud France Vincent Gerbaud's profile →
Citations per field
00.5×2×3×4.3×
Vincent Gerbaud · 1×
Citations per year

Countries citing papers authored by Saimeng Jin

Since Specialization
Citations

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

Fields of papers citing papers by Saimeng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Saimeng Jin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Saimeng Jin Line = papers co-authored together Saimeng Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Tools and techniques for solvent selection: green solvent selection guides
White Rose Research Online (University of Leeds, The University of Sheffield, University of York) ·(unknown), Saimeng Jin, Giulia Paggiola, Tabitha H. M. Petchey, James H. Clark, Thomas J. Farmer, Andrew J. Hunt, Con Robert McElroy, James Sherwood
Hit paper breakdown →		20161160
2
Optimization and control of energy saving side-stream extractive distillation with heat integration for separating ethyl acetate-ethanol azeotrope
Chemical Engineering Science ·Tao Shi, Wei Chun, Ao Yang, Yang Su, Saimeng Jin, Jingzheng Ren, Weifeng Shen
2019124
3
Investigation on ternary system tetrahydrofuran/ethanol/water with three azeotropes separation via the combination of reactive and extractive distillation
Journal of Cleaner Production ·Yang Su, Ao Yang, Saimeng Jin, Weifeng Shen, Peizhe Cui, Jingzheng Ren
2020110
4
Investigation of energy-saving azeotropic dividing wall column to achieve cleaner production via heat exchanger network and heat pump technique
Journal of Cleaner Production ·Ao Yang, Saimeng Jin, Weifeng Shen, Peizhe Cui, I‐Lung Chien, Jingzheng Ren
2019102
5
Investigation of an energy-saving double-thermally coupled extractive distillation for separating ternary system benzene/toluene/cyclohexane
Energy ·Ao Yang, Yang Su, I‐Lung Chien, Saimeng Jin, Chenglei Yan, Shun’an Wei, Weifeng Shen
201999
6
HKUST-1 MOFs decorated 3D copper foam with superhydrophobicity/superoleophilicity for durable oil/water separation
Colloids and Surfaces A Physicochemical and Engineering Aspects ·Jingcheng Du, Changyuan Zhang, Hong Pu, Yufeng Li, Saimeng Jin, Luxi Tan, Cailong Zhou, Lichun Dong
201996
7
An architecture of deep learning in QSPR modeling for the prediction of critical properties using molecular signatures
AIChE Journal ·Yang Su, Zihao Wang, Saimeng Jin, Weifeng Shen, Jingzheng Ren, Mario R. Eden
201995
8
Systematic approach for screening organic and ionic liquid solvents in homogeneous extractive distillation exemplified by the tert-butanol dehydration
Separation and Purification Technology ·Yanjie Hu, Yang Su, Saimeng Jin, I‐Lung Chien, Weifeng Shen
201894
9
Predictive deep learning models for environmental properties: the direct calculation of octanol–water partition coefficients from molecular graphs
Green Chemistry ·Zihao Wang, Yang Su, Weifeng Shen, Saimeng Jin, James H. Clark, Jingzheng Ren, Xiangping Zhang
201986
10
Stakeholder-oriented multi-objective process optimization based on an improved genetic algorithm
Computers & Chemical Engineering ·Yang Su, Saimeng Jin, Xiangping Zhang, Weifeng Shen, Mario R. Eden, Jingzheng Ren
201979
11
Investigation of energy-efficient and sustainable reactive/pressure-swing distillation processes to recover tetrahydrofuran and ethanol from the industrial effluent
Separation and Purification Technology ·Ao Yang, Yang Su, Liumei Teng, Saimeng Jin, Teng Zhou, Weifeng Shen
202076
12
Design and optimization of the efficient extractive distillation process for separating the binary azeotropic mixture methanol-acetone based on the quantum chemistry and conceptual design
Separation and Purification Technology ·Yanjie Hu, Fuhua Li, Shun’an Wei, Saimeng Jin, Weifeng Shen
202060
13
Comparative optimal design and control of two alternative approaches for separating heterogeneous mixtures isopropyl alcohol-isopropyl acetate-water with four azeotropes
Separation and Purification Technology ·Tao Shi, Ao Yang, Saimeng Jin, Weifeng Shen, Shun’an Wei, Jingzheng Ren
201953
14
Challenges in the development of bio-based solvents: a case study on methyl(2,2-dimethyl-1,3-dioxolan-4-yl)methyl carbonate as an alternative aprotic solvent
Faraday Discussions ·Saimeng Jin, (unknown), Con Robert McElroy, James Sherwood, James H. Clark, Andrew J. Hunt
201744
15
The process control of the triple-column pressure-swing extractive distillation with partial heat integration
Separation and Purification Technology ·Tao Shi, Wei Chun, Ao Yang, Saimeng Jin, Weifeng Shen, Jingzheng Ren, Jinglian Gu
201944
16
An accurate and interpretable deep learning model for environmental properties prediction using hybrid molecular representations
AIChE Journal ·Jun Zhang, Qin Wang, Yang Su, Saimeng Jin, Jingzheng Ren, Mario R. Eden, Weifeng Shen
202242
17
A systematic modeling methodology of deep neural network‐based structure‐property relationship for rapid and reliable prediction on flashpoints
AIChE Journal ·Huaqiang Wen, Yang Su, Zihao Wang, Saimeng Jin, Jingzheng Ren, Weifeng Shen, Mario R. Eden
202142
18
Acid-catalysed carboxymethylation, methylation and dehydration of alcohols and phenols with dimethyl carbonate under mild conditions
Green Chemistry ·Saimeng Jin, Andrew J. Hunt, James H. Clark, Con Robert McElroy
201640
19
A novel unambiguous strategy of molecular feature extraction in machine learning assisted predictive models for environmental properties
Green Chemistry ·Zihao Wang, Yang Su, Saimeng Jin, Weifeng Shen, Jingzheng Ren, Xiangping Zhang, James H. Clark
202037
20
Multidimension Insight Involving Experimental and in Silico Investigation into the Corrosion Inhibition of N,N-Dibenzyl Dithiocarbamate Acid on Copper in Sulfuric Acid Solution
Industrial & Engineering Chemistry Research ·Fuhua Li, Mengna Bai, Shun’an Wei, Saimeng Jin, Weifeng Shen
201931

About Saimeng Jin

Saimeng Jin is a scholar working on Control and Systems Engineering, Environmental Chemistry, Computational Theory and Mathematics, Materials Chemistry and Process Chemistry and Technology, having authored 44 papers that have together received 2.7k indexed citations. Recurring topics across this work include Process Optimization and Integration (19 papers), Chemistry and Chemical Engineering (15 papers), Computational Drug Discovery Methods (11 papers), Advanced Control Systems Optimization (11 papers), Carbon dioxide utilization in catalysis (6 papers), Machine Learning in Materials Science (6 papers), Ionic liquids properties and applications (4 papers) and Asymmetric Hydrogenation and Catalysis (3 papers). The work is most often cited by research in Catalysis (342 citations), Filtration and Separation (98 citations), Environmental Chemistry (455 citations), Process Chemistry and Technology (113 citations) and Control and Systems Engineering (892 citations). Saimeng Jin has collaborated with scholars based in China, Hong Kong and United Kingdom. Frequent co-authors include Weifeng Shen, James H. Clark, Andrew J. Hunt, Con Robert McElroy, Yang Su, James Sherwood, Jingzheng Ren, Thomas J. Farmer, Ao Yang and I‐Lung Chien. Their work appears in journals such as Green Chemistry, Industrial & Engineering Chemistry Research, Separation and Purification Technology, Journal of Cleaner Production and AIChE Journal.

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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