Yi Heng

1.8k total citations · 1 hit paper
58 papers, 1.3k citations indexed

About

Yi Heng is a scholar working on Mechanical Engineering, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Yi Heng has authored 58 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Mechanical Engineering, 14 papers in Computational Mechanics and 14 papers in Biomedical Engineering. Recurrent topics in Yi Heng's work include Heat Transfer and Boiling Studies (12 papers), Numerical methods in inverse problems (10 papers) and Heat Transfer and Optimization (10 papers). Yi Heng is often cited by papers focused on Heat Transfer and Boiling Studies (12 papers), Numerical methods in inverse problems (10 papers) and Heat Transfer and Optimization (10 papers). Yi Heng collaborates with scholars based in China, Germany and United States. Yi Heng's co-authors include Dong-Chuan Mo, Shu‐Shen Lyu, Lars Hoffmann, Olaf Stein, Sabine Grießbach, Yuan-Xiang Fu, Xue Wu, Bärbel Vogel, G. Günther and Jiali Luo and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Physical Chemistry C and Journal of Materials Chemistry A.

In The Last Decade

Yi Heng

53 papers receiving 1.3k citations

Hit Papers

From ERA-Interim to ERA5: the considerable impact of ECMW... 2019 2026 2021 2023 2019 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yi Heng China 17 411 389 346 220 172 58 1.3k
Denis J. Phares United States 20 469 1.1× 116 0.3× 193 0.6× 525 2.4× 78 0.5× 34 1.3k
Vadim S. Nikolayev France 25 225 0.5× 166 0.4× 805 2.3× 769 3.5× 248 1.4× 80 1.9k
Nikolay Ivanov Kolev Bulgaria 27 224 0.5× 202 0.5× 335 1.0× 409 1.9× 477 2.8× 115 2.0k
Matthew J. Berg United States 18 276 0.7× 332 0.9× 60 0.2× 112 0.5× 106 0.6× 77 1.0k
J. R. Saylor United States 19 152 0.4× 128 0.3× 374 1.1× 606 2.8× 155 0.9× 82 1.5k
Jérôme Yon France 25 1.1k 2.6× 490 1.3× 50 0.1× 605 2.8× 106 0.6× 83 2.0k
Man Zhang China 13 104 0.3× 145 0.4× 187 0.5× 535 2.4× 113 0.7× 46 1.3k
Junming Zhao China 27 141 0.3× 234 0.6× 74 0.2× 498 2.3× 315 1.8× 113 2.2k
Zhenhui Wang China 19 270 0.7× 297 0.8× 180 0.5× 24 0.1× 345 2.0× 132 1.5k
Dominik Krug Netherlands 15 106 0.3× 81 0.2× 89 0.3× 402 1.8× 167 1.0× 38 827

Countries citing papers authored by Yi Heng

Since Specialization
Citations

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

Fields of papers citing papers by Yi Heng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Heng

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Heng. A scholar is included among the top collaborators of Yi Heng 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 Yi Heng. Yi Heng 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.
Liu, Laijun, et al.. (2025). Fast solution of 3D transport processes using a physics-informed neural network with embedded transfer learning. Separation and Purification Technology. 363. 132012–132012. 3 indexed citations
2.
Mo, Dong-Chuan, et al.. (2024). FIND BEAR: An explainable artificial intelligence platform for stages automatic recognition in pool boiling. Applied Thermal Engineering. 261. 125117–125117.
3.
Li, Mingheng, et al.. (2024). Inverse design of V-shape feed spacer for batch and semi-batch reverse osmosis. Desalination. 591. 118049–118049. 4 indexed citations
4.
Zheng, Kai, Xuewen Zhang, Jun Wu, et al.. (2024). Bending two-dimensional Cu(i)-based coordination networks to inverse electrocatalytic HER/CO2RR selectivity. Journal of Materials Chemistry A. 12(27). 16396–16402. 6 indexed citations
5.
Li, Mingheng, et al.. (2024). Bio-inspired design of next-generation ultrapermeable membrane systems. npj Clean Water. 7(1). 7 indexed citations
6.
Wang, Chen, et al.. (2024). A fast Bayesian parallel solution framework for large-scale parameter estimation of 3D inverse heat transfer problems. International Communications in Heat and Mass Transfer. 155. 107409–107409. 3 indexed citations
7.
8.
Chen, Ke, et al.. (2023). Efficient direct numerical simulation of gas absorption in falling films using a combined high-throughput/high-performance approach. Chemical Engineering Science. 273. 118603–118603. 3 indexed citations
9.
Hoffmann, Lars, et al.. (2023). Improved representation of volcanic sulfur dioxide depletion in Lagrangian transport simulations: a case study with MPTRAC v2.4. Geoscientific model development. 16(17). 5197–5217. 2 indexed citations
10.
Heng, Yi, et al.. (2023). Multiscale Analysis of Permeable and Impermeable Wall Models for Seawater Reverse Osmosis Desalination. Separations. 10(2). 134–134. 4 indexed citations
11.
Li, Mingheng, et al.. (2023). Supercomputing and machine learning-aided optimal design of high permeability seawater reverse osmosis membrane systems. Science Bulletin. 68(4). 397–407. 24 indexed citations
12.
Hoffmann, Lars, Zhongyin Cai, Sabine Grießbach, et al.. (2022). Massive-Parallel Trajectory Calculations version 2.2 (MPTRAC-2.2): Lagrangian transport simulations on graphics processing units (GPUs). Geoscientific model development. 15(7). 2731–2762. 14 indexed citations
13.
Chen, Qiang, et al.. (2022). High-Throughput Optimal Design of Spacers Using Triply Periodic Minimal Surfaces in BWRO. Separations. 9(3). 62–62. 5 indexed citations
14.
Heng, Yi, et al.. (2021). 1D-3D Online Coupled Transient Analysis for Powertrain-Control Integrated Thermal Management in an Electric Vehicle. SAE International Journal of Advances and Current Practices in Mobility. 3(5). 2410–2420. 1 indexed citations
16.
Li, Mingheng, et al.. (2020). Batch reverse osmosis: a new research direction in water desalination. Science Bulletin. 65(20). 1705–1708. 11 indexed citations
17.
Hoffmann, Lars, G. Günther, Dan Li, et al.. (2019). From ERA-Interim to ERA5: the considerable impact of ECMWF's next-generation reanalysis on Lagrangian transport simulations. Atmospheric chemistry and physics. 19(5). 3097–3124. 437 indexed citations breakdown →
18.
Stein, Olaf, et al.. (2018). Trajectory errors of different numerical integration schemes diagnosed with the MPTRAC advection module driven by ECMWF operational analyses. Geoscientific model development. 11(2). 575–592. 16 indexed citations
20.
Heng, Yi, et al.. (2016). Inverse transport modeling of volcanic sulfur dioxide emissions using large-scale simulations. Geoscientific model development. 9(4). 1627–1645. 19 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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