Haiming Jin

749 total citations
10 papers, 618 citations indexed

About

Haiming Jin is a scholar working on Biomedical Engineering, Agronomy and Crop Science and Catalysis. According to data from OpenAlex, Haiming Jin has authored 10 papers receiving a total of 618 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Biomedical Engineering, 4 papers in Agronomy and Crop Science and 3 papers in Catalysis. Recurrent topics in Haiming Jin's work include Biofuel production and bioconversion (5 papers), Thermochemical Biomass Conversion Processes (5 papers) and Bioenergy crop production and management (4 papers). Haiming Jin is often cited by papers focused on Biofuel production and bioconversion (5 papers), Thermochemical Biomass Conversion Processes (5 papers) and Bioenergy crop production and management (4 papers). Haiming Jin collaborates with scholars based in United States and China. Haiming Jin's co-authors include Eric D. Larson, Fuat E. Celik, Lee R. Lynd, Mark Laser, Xia Li, Andrew J. Elmore, Xun Shi, Fang Wang, Bruce E. Dale and Robert H. Williams and has published in prestigious journals such as Biomass and Bioenergy, Biofuels Bioproducts and Biorefining and eYLS (Yale Law School).

In The Last Decade

Haiming Jin

10 papers receiving 582 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Haiming Jin United States	8	409	126	120	113	107	10	618
Erin Searcy United States	15	498 1.2×	349 2.8×	157 1.3×	183 1.6×	23 0.2×	22	769
Sierk de Jong Netherlands	9	547 1.3×	137 1.1×	55 0.5×	211 1.9×	44 0.4×	11	959
Daniel Ciolkosz United States	12	493 1.2×	143 1.1×	38 0.3×	85 0.8×	20 0.2×	39	809
Bothwell Batidzirai Netherlands	10	489 1.2×	156 1.2×	90 0.8×	150 1.3×	13 0.1×	17	792
R. van Ree Netherlands	11	421 1.0×	37 0.3×	29 0.2×	74 0.7×	38 0.4×	23	600
Ayla Uslu Netherlands	5	424 1.0×	123 1.0×	47 0.4×	94 0.8×	16 0.1×	5	512
Nathanael Greene United States	10	332 0.8×	41 0.3×	73 0.6×	57 0.5×	21 0.2×	47	620
J. C. Griesemann France	4	307 0.8×	44 0.3×	76 0.6×	226 2.0×	30 0.3×	6	843
Longwen Ou United States	17	550 1.3×	51 0.4×	21 0.2×	119 1.1×	43 0.4×	28	808
Fabian Schipfer Austria	13	327 0.8×	115 0.9×	39 0.3×	141 1.2×	13 0.1×	20	655

Countries citing papers authored by Haiming Jin

Since Specialization

Citations

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

Fields of papers citing papers by Haiming Jin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Haiming Jin

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

All Works

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10 of 10 papers shown

1.

Jin, Haiming, Eric D. Larson, & Fuat E. Celik. (2009). Performance and cost analysis of future, commercially mature gasification‐based electric power generation from switchgrass. Biofuels Bioproducts and Biorefining. 3(2). 142–173. 65 indexed citations

2.

Laser, Mark, et al.. (2009). Coproduction of ethanol and power from switchgrass. Biofuels Bioproducts and Biorefining. 3(2). 195–218. 80 indexed citations

3.

Laser, Mark, et al.. (2009). Projected mature technology scenarios for conversion of cellulosic biomass to ethanol with coproduction thermochemical fuels, power, and/or animal feed protein. Biofuels Bioproducts and Biorefining. 3(2). 231–246. 50 indexed citations

4.

Larson, Eric D., Haiming Jin, & Fuat E. Celik. (2009). Large‐scale gasification‐based coproduction of fuels and electricity from switchgrass. Biofuels Bioproducts and Biorefining. 3(2). 174–194. 151 indexed citations

5.

Shi, Xun, et al.. (2007). Using spatial information technologies to select sites for biomass power plants: A case study in Guangdong Province, China. Biomass and Bioenergy. 32(1). 35–43. 120 indexed citations

6.

Elmore, Andrew J., Xun Shi, Xia Li, et al.. (2007). Spatial distribution of agricultural residue from rice for potential biofuel production in China. Biomass and Bioenergy. 32(1). 22–27. 51 indexed citations

7.

Williams, Robert H., Eric D. Larson, & Haiming Jin. (2006). Comparing Climate-Change Mitigating Potentials of Alternative Synthetic Liquid Fuel Technologies Using Biomass and Coal. eYLS (Yale Law School). 3 indexed citations

8.

Larson, Eric D., Robert H. Williams, & Haiming Jin. (2006). Fuels and electricity from biomass with CO2 capture and storage. 17 indexed citations

9.

Larson, Eric D., Haiming Jin, & Fuat E. Celik. (2005). Gasification-Based Fuels and Electricity Production from Biomass, without and with Carbon Capture and Storage. 74 indexed citations

10.

Larson, Eric D. & Haiming Jin. (1999). A Preliminary Assessment of Biomass Conversion to Fischer- Tropsch Cooking Fuels for Rural China. 7 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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